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Advances in Bias and Fairness in Information Retrieval [[electronic resource] ] : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Advances in Bias and Fairness in Information Retrieval [[electronic resource] ] : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Autore Boratto Ludovico
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (187 pages)
Disciplina 025.524
Altri autori (Persone) FaralliStefano
MarrasMirko
StiloGiovanni
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Artificial intelligence
Electronic commerce
Computer Engineering and Networks
Artificial Intelligence
e-Commerce and e-Business
ISBN 3-031-37249-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations -- Measuring Bias in Multimodal Models: Multimodal Composite Association Score -- Evaluating Fairness Metrics -- Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems -- Preserving Utility in Fair Top-k Ranking with Intersectional Bias -- Mitigating Position Bias in Hotels Recommender Systems -- Improving Recommender System Diversity with Variational Autoencoders -- Addressing Biases in the Texts using an End-to-End Pipeline Approach -- Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation -- How do you feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment -- Understanding Search Behavior Bias in Wikipedia -- Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations -- Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation -- What are we missing in algorithmic fairness? Discussing open challenges for fairness analysis in user profiling with Graph Neural Networks.
Record Nr. UNISA-996546825403316
Boratto Ludovico  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Bias and Fairness in Information Retrieval [[electronic resource] ] : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Advances in Bias and Fairness in Information Retrieval [[electronic resource] ] : 4th International Workshop, BIAS 2023, Dublin, Ireland, April 2, 2023, Revised Selected Papers / / edited by Ludovico Boratto, Stefano Faralli, Mirko Marras, Giovanni Stilo
Autore Boratto Ludovico
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (187 pages)
Disciplina 025.524
Altri autori (Persone) FaralliStefano
MarrasMirko
StiloGiovanni
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Artificial intelligence
Electronic commerce
Computer Engineering and Networks
Artificial Intelligence
e-Commerce and e-Business
ISBN 3-031-37249-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Study on Accuracy, Miscalibration, and Popularity Bias in Recommendations -- Measuring Bias in Multimodal Models: Multimodal Composite Association Score -- Evaluating Fairness Metrics -- Utilizing Implicit Feedback for User Mainstreaminess Evaluation and Bias Detection in Recommender Systems -- Preserving Utility in Fair Top-k Ranking with Intersectional Bias -- Mitigating Position Bias in Hotels Recommender Systems -- Improving Recommender System Diversity with Variational Autoencoders -- Addressing Biases in the Texts using an End-to-End Pipeline Approach -- Bootless Application of Greedy Re-ranking Algorithms in Fair Neural Team Formation -- How do you feel? Information Retrieval in Psychotherapy and Fair Ranking Assessment -- Understanding Search Behavior Bias in Wikipedia -- Do you MIND? Reflections on the MIND dataset for research on diversity in news recommendations -- Detecting and Measuring Social Bias of Arabic Generative Models in the Context of Search and Recommendation -- What are we missing in algorithmic fairness? Discussing open challenges for fairness analysis in user profiling with Graph Neural Networks.
Record Nr. UNINA-9910734876903321
Boratto Ludovico  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in bias and fairness in information retrieval : third international workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, revised selected papers / / edited by Ludovico Boratto [and three others]
Advances in bias and fairness in information retrieval : third international workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, revised selected papers / / edited by Ludovico Boratto [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (166 pages)
Disciplina 025.524
Collana Communications in Computer and Information Science
Soggetto topico Algorithms
Information retrieval
ISBN 3-031-09316-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Advances in Bias and Fairness in Information Retrieval: Preface -- Organization -- Contents -- Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Defining Popularity -- 3.2 Multimedia Datasets -- 3.3 Recommendation Algorithms and Evaluation Protocol -- 4 Results -- 4.1 RQ1: Relationship Between Item Popularity and Recommendation Frequency -- 4.2 RQ2: Relationship Between Users' Inclination to Popular Items and Recommendation Accuracy -- 5 Conclusion -- References -- The Impact of Recommender System and Users' Behaviour on Choices' Distribution and Quality -- 1 Introduction -- 2 Related Works -- 2.1 Impact of Recommender System on Users' Choice Distribution -- 2.2 Impact of Choice Model on Users' Choice Distribution -- 3 Simulation of Users' Choices -- 4 Experimental Analysis -- 5 Conclusion -- References -- Sequential Nature of Recommender Systems Disrupts the Evaluation Process -- 1 Introduction -- 1.1 Related Works -- 1.2 Notation and Definitions -- 2 Evaluation Systems and Adaptation -- 2.1 Ladder Mechanism -- 2.2 Adversarial Attacks -- 3 Recommender Systems as Sequential Decision Makers -- 3.1 k-NN Recommender System -- 4 Sequence-Aware Adversarial Attacks -- 4.1 Random Window Boosting Attack (WBoost) -- 4.2 k-NN Posterior Boosting Attack (PostBoost) -- 5 Experiments -- 5.1 Evaluation on Synthetic Data -- 5.2 Evaluation on ML-100k -- 6 Discussion -- References -- Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures -- 1 Introduction -- 2 Understanding Long-Term Dynamics -- 3 Case Study -- 4 Conclusion -- References -- A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-Box Systems: A Case Study with COVID-Related Searches -- 1 Introduction -- 2 Preliminaries -- 2.1 Auditing Algorithmic Bias.
2.2 Auditing Platforms and Search Engines -- 2.3 Crowdsourcing Platform: Amazon Mechanical Turk -- 2.4 Measuring Similarity Among SERPs -- 3 Methodology -- 3.1 Crowdsourcing Search Engine Result Pages -- 3.2 Queries -- 4 Results and Discussion -- 4.1 Collected Data -- 4.2 Demographics -- 4.3 Do Different Participants Get Different Search Results for the Same Queries? -- 5 Do Results Vary Between Positive and Negative Query Formulations? -- 6 Conclusion -- References -- The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Datasets -- 3.2 Evaluation Metrics -- 4 Popularity Bias in POI Data (RQ1) -- 4.1 Consumption Distribution of POIs -- 4.2 User Profiles and Popularity Bias -- 5 Results and Discussion -- 5.1 Trade-Off on Accuracy, User and Item Fairness (RQ2) -- 5.2 Popularity Bias in POI Recommendation (RQ3) -- 6 Conclusion and Future Work -- References -- The Unfairness of Popularity Bias in Book Recommendation -- 1 Introduction -- 2 Popularity Bias in Data -- 2.1 Reading Distribution of Books -- 2.2 User Profile Size and Popularity Bias in Book Data -- 3 Popularity Bias in Book Recommendation -- 3.1 Recommendation of Popular Books -- 3.2 Popularity Bias for Different User Groups -- 3.3 Unfairness of Popularity Bias vs. Personalization -- 4 Discussion -- 5 Conclusion and Future Work -- References -- Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches -- 1 Introduction and Background -- 2 Research Methodology -- 2.1 Baseline Algorithms and Re-ranking Algorithms -- 2.2 Metrics -- 2.3 Datasets -- 3 Results -- 4 Summary and Future Work -- References -- Analysis of Biases in Calibrated Recommendations -- 1 Introduction -- 2 Related Work -- 2.1 Biases in Recommender Systems -- 2.2 Calibration -- 3 Preliminaries.
3.1 Data -- 3.2 Recommendation Models -- 3.3 Calibration -- 4 Results -- 4.1 Analysis of Bias in the Calibration Algorithm -- 4.2 Analysis of Recommendation Accuracy in Calibration Process -- 5 Conclusions and Future Work -- References -- Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? -- 1 Introduction -- 2 Related Work -- 3 Experiment Setup -- 4 Results and Discussion -- 4.1 Gender-Agnostic Experiments -- 4.2 Gender-Specific Experiments -- 4.3 Discussion -- 4.4 Limitations of the Experiments -- 5 Conclusion and Future Work -- References -- Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach -- 1 Introduction -- 2 Background Knowledge and Related Work -- 2.1 Fairness Definition -- 2.2 Related Works -- 3 Debiaser for Multiple Variables (DEMV) -- 4 Experimental Analysis -- 4.1 Employed Datasets -- 4.2 Experimental Results -- 5 Conclusion and Future Work -- References -- Keyword Recommendation for Fair Search -- 1 Introduction -- 2 Related Work -- 3 Objective -- 4 Proposed Method -- 4.1 Problem Setup -- 4.2 The FairKR Framework and Implementation -- 4.3 Limitations -- 5 Experimental Setup -- 5.1 Data -- 5.2 Search Engine -- 6 Analysis and Discussion -- 7 Conclusion and Future Work -- References -- FARGO: A Fair, Context-AwaRe, Group RecOmmender System -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 CtxInfl -- 3.2 FARGO -- 4 Experimental Results -- 4.1 TV Dataset -- 4.2 Music Dataset -- 5 Conclusions -- References -- Author Index.
Record Nr. UNISA-996478864203316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in bias and fairness in information retrieval : third international workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, revised selected papers / / edited by Ludovico Boratto [and three others]
Advances in bias and fairness in information retrieval : third international workshop, BIAS 2022, Stavanger, Norway, April 10, 2022, revised selected papers / / edited by Ludovico Boratto [and three others]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (166 pages)
Disciplina 025.524
Collana Communications in Computer and Information Science
Soggetto topico Algorithms
Information retrieval
ISBN 3-031-09316-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Advances in Bias and Fairness in Information Retrieval: Preface -- Organization -- Contents -- Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Defining Popularity -- 3.2 Multimedia Datasets -- 3.3 Recommendation Algorithms and Evaluation Protocol -- 4 Results -- 4.1 RQ1: Relationship Between Item Popularity and Recommendation Frequency -- 4.2 RQ2: Relationship Between Users' Inclination to Popular Items and Recommendation Accuracy -- 5 Conclusion -- References -- The Impact of Recommender System and Users' Behaviour on Choices' Distribution and Quality -- 1 Introduction -- 2 Related Works -- 2.1 Impact of Recommender System on Users' Choice Distribution -- 2.2 Impact of Choice Model on Users' Choice Distribution -- 3 Simulation of Users' Choices -- 4 Experimental Analysis -- 5 Conclusion -- References -- Sequential Nature of Recommender Systems Disrupts the Evaluation Process -- 1 Introduction -- 1.1 Related Works -- 1.2 Notation and Definitions -- 2 Evaluation Systems and Adaptation -- 2.1 Ladder Mechanism -- 2.2 Adversarial Attacks -- 3 Recommender Systems as Sequential Decision Makers -- 3.1 k-NN Recommender System -- 4 Sequence-Aware Adversarial Attacks -- 4.1 Random Window Boosting Attack (WBoost) -- 4.2 k-NN Posterior Boosting Attack (PostBoost) -- 5 Experiments -- 5.1 Evaluation on Synthetic Data -- 5.2 Evaluation on ML-100k -- 6 Discussion -- References -- Towards an Approach for Analyzing Dynamic Aspects of Bias and Beyond-Accuracy Measures -- 1 Introduction -- 2 Understanding Long-Term Dynamics -- 3 Case Study -- 4 Conclusion -- References -- A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-Box Systems: A Case Study with COVID-Related Searches -- 1 Introduction -- 2 Preliminaries -- 2.1 Auditing Algorithmic Bias.
2.2 Auditing Platforms and Search Engines -- 2.3 Crowdsourcing Platform: Amazon Mechanical Turk -- 2.4 Measuring Similarity Among SERPs -- 3 Methodology -- 3.1 Crowdsourcing Search Engine Result Pages -- 3.2 Queries -- 4 Results and Discussion -- 4.1 Collected Data -- 4.2 Demographics -- 4.3 Do Different Participants Get Different Search Results for the Same Queries? -- 5 Do Results Vary Between Positive and Negative Query Formulations? -- 6 Conclusion -- References -- The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation -- 1 Introduction -- 2 Related Work -- 3 Experimental Setup -- 3.1 Datasets -- 3.2 Evaluation Metrics -- 4 Popularity Bias in POI Data (RQ1) -- 4.1 Consumption Distribution of POIs -- 4.2 User Profiles and Popularity Bias -- 5 Results and Discussion -- 5.1 Trade-Off on Accuracy, User and Item Fairness (RQ2) -- 5.2 Popularity Bias in POI Recommendation (RQ3) -- 6 Conclusion and Future Work -- References -- The Unfairness of Popularity Bias in Book Recommendation -- 1 Introduction -- 2 Popularity Bias in Data -- 2.1 Reading Distribution of Books -- 2.2 User Profile Size and Popularity Bias in Book Data -- 3 Popularity Bias in Book Recommendation -- 3.1 Recommendation of Popular Books -- 3.2 Popularity Bias for Different User Groups -- 3.3 Unfairness of Popularity Bias vs. Personalization -- 4 Discussion -- 5 Conclusion and Future Work -- References -- Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches -- 1 Introduction and Background -- 2 Research Methodology -- 2.1 Baseline Algorithms and Re-ranking Algorithms -- 2.2 Metrics -- 2.3 Datasets -- 3 Results -- 4 Summary and Future Work -- References -- Analysis of Biases in Calibrated Recommendations -- 1 Introduction -- 2 Related Work -- 2.1 Biases in Recommender Systems -- 2.2 Calibration -- 3 Preliminaries.
3.1 Data -- 3.2 Recommendation Models -- 3.3 Calibration -- 4 Results -- 4.1 Analysis of Bias in the Calibration Algorithm -- 4.2 Analysis of Recommendation Accuracy in Calibration Process -- 5 Conclusions and Future Work -- References -- Do Perceived Gender Biases in Retrieval Results Affect Relevance Judgements? -- 1 Introduction -- 2 Related Work -- 3 Experiment Setup -- 4 Results and Discussion -- 4.1 Gender-Agnostic Experiments -- 4.2 Gender-Specific Experiments -- 4.3 Discussion -- 4.4 Limitations of the Experiments -- 5 Conclusion and Future Work -- References -- Enhancing Fairness in Classification Tasks with Multiple Variables: A Data- and Model-Agnostic Approach -- 1 Introduction -- 2 Background Knowledge and Related Work -- 2.1 Fairness Definition -- 2.2 Related Works -- 3 Debiaser for Multiple Variables (DEMV) -- 4 Experimental Analysis -- 4.1 Employed Datasets -- 4.2 Experimental Results -- 5 Conclusion and Future Work -- References -- Keyword Recommendation for Fair Search -- 1 Introduction -- 2 Related Work -- 3 Objective -- 4 Proposed Method -- 4.1 Problem Setup -- 4.2 The FairKR Framework and Implementation -- 4.3 Limitations -- 5 Experimental Setup -- 5.1 Data -- 5.2 Search Engine -- 6 Analysis and Discussion -- 7 Conclusion and Future Work -- References -- FARGO: A Fair, Context-AwaRe, Group RecOmmender System -- 1 Introduction -- 2 Related Work -- 3 The Proposed Method -- 3.1 CtxInfl -- 3.2 FARGO -- 4 Experimental Results -- 4.1 TV Dataset -- 4.2 Music Dataset -- 5 Conclusions -- References -- Author Index.
Record Nr. UNINA-9910578689203321
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Information Retrieval : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III
Advances in Information Retrieval : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III
Autore Goharian Nazli
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (528 pages)
Disciplina 025.524
Altri autori (Persone) TonellottoNicola
HeYulan
LipaniAldo
McDonaldGraham
MacdonaldCraig
OunisIadh
Collana Lecture Notes in Computer Science Series
ISBN 3-031-56063-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part III -- Full Papers -- Knowledge Graph Cross-View Contrastive Learning for Recommendation -- 1 Introduction -- 2 Related Work -- 3 Model Architecture -- 3.1 Problem Formulation -- 3.2 Local-Level Learning -- 3.3 Global-Level Learning -- 3.4 Cross-View Contrastive Learning -- 4 Experiments -- 4.1 Datasets and Evaluation Protocol -- 4.2 Baselines -- 4.3 Performance Comparison with Baselines (RQ1) -- 4.4 Ablation Study (RQ2) -- 4.5 Sensitivity Analysis (RQ3) -- 5 Conclusions -- References -- Mu2STS: A Multitask Multimodal Sarcasm-Humor-Differential Teacher-Student Model for Sarcastic Meme Detection -- 1 Introduction -- 2 Related Works -- 3 Meme Corpus Creation -- 4 Methodology -- 4.1 Problem Formulation -- 4.2 Encoding of Meme -- 4.3 Multimodal Multisegment Multihead Fusion with Cross-Modal Understanding (M3F-CmU) Module -- 4.4 Humor-Aware Sarcasm Synced Teacher Training (HuS-STT) Module -- 4.5 Sarcasm-Illuminator Student Model Training (SaI-SMT) Module -- 5 Results and Analysis -- 5.1 Experimental Details -- 5.2 Comparison with Baselines -- 5.3 Ablation Study -- 5.4 Detailed Analysis -- 5.5 Cross-Lingual Generalization -- 5.6 Comparison with the State-of-the-Art (SOTA) Models -- 6 Error Analysis and Limitations -- 7 Conclusion and Future Work -- References -- Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation -- 1 Introduction -- 2 Related Work -- 2.1 Attacks and Robustness in Recommendation -- 2.2 Fairness in Recommendation -- 2.3 Robustness and Beyond-Accuracy Aspects -- 3 Methodology -- 3.1 Perturbation Task in Graph-Based Recommendation -- 3.2 Graph Perturbation Mechanism -- 3.3 Fairness Notion and Operationalization -- 4 Experimental Evaluation -- 4.1 Evaluation Setting -- 4.2 RQ1: Impact on Robustness in Fairness.
4.3 RQ2: Robustness in Fairness Under Incremental Perturbations -- 4.4 RQ3: Edge Perturbations Influence on Groups -- 5 Conclusions -- References -- Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search Engines -- 1 Introduction -- 2 Related Work -- 3 Data and Feature Extraction -- 4 SEO Spam in Product Reviews -- 5 Temporal Analysis of Product Reviews -- 6 Conclusion -- References -- GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential Recommendation -- 1 Introduction -- 2 Methodology -- 2.1 Interaction Sequence Encoder -- 2.2 Dynamic Graph Based Memory -- 2.3 Output Gating -- 2.4 Attentive Reading of Graph Memory -- 2.5 End-to-End Training -- 3 Related Work -- 4 Experiments -- 4.1 Discussion -- 5 Conclusion -- References -- Effective Adhoc Retrieval Through Traversal of a Query-Document Graph -- 1 Introduction -- 2 Related Work -- 3 Query-Document Graph -- 3.1 Query Population -- 3.2 Ranking Neighbours -- 4 QDG in an Adaptive Retrieval Framework -- 4.1 Reverted Adaptive Retrieval -- 4.2 Resource Selection -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Results -- 6 Qualitative Analysis -- 7 Conclusions -- References -- How to Forget Clients in Federated Online Learning to Rank? -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preliminary -- 3.2 Unlearning in FOLTR -- 3.3 Efficiency Analysis -- 3.4 Evaluating Unlearning -- 4 Experimental Setup -- 5 Results and Analysis -- 5.1 Validation of Evaluation Methodology -- 5.2 Effectiveness of Unlearning -- 5.3 Hyper-parameters Analysis -- 6 Conclusion -- References -- An Adaptive Feature Selection Method for Learning-to-Enumerate Problem -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experiments -- 4.1 Experimental Result -- 4.2 Analysis on Why AdaFeaSE Works -- 4.3 Lasso with Initial Weight Values Being 1 -- 4.4 Scalability of the Algorithm.
5 Conclusions -- References -- A Transformer-Based Object-Centric Approach for Date Estimation of Historical Photographs -- 1 Introduction -- 2 Related Work -- 3 DEW-B Dataset -- 4 Method -- 4.1 Single Image Date Estimation Model -- 4.2 Leveraging Object Detection for Date Estimation -- 4.3 DEXPERT Architecture -- 5 Experiments -- 6 Conclusions -- A Implementation details -- References -- Shallow Cross-Encoders for Low-Latency Retrieval -- 1 Introduction -- 2 Efficiency/Effectiveness Tradeoffs in Cross-Encoders -- 3 Training Shallow Cross-Encoders with gBCE -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 RQ1. Efficiency/Effectiveness Tradeoffs -- 4.3 RQ2. Effect of the Training Scheme -- 4.4 RQ3. CPU Inference -- 5 Conclusion -- A Effect of gBCE Training Scheme on Tiny BERT-Based Cross-Encoder on the MS MARCO Dev Set -- References -- Asking Questions Framework for Oral History Archives -- 1 Introduction -- 2 Speech Recognition for Oral Archives -- 3 Asking Questions Framework -- 3.1 Asking Questions Model -- 3.2 Semantic Continuity Model -- 4 Experimental Evaluation -- 4.1 Semantic Continuity Model Evaluation -- 4.2 AQ Models Comparison -- 5 Asking Questions Demonstrator -- 6 Conclusion and Future Work -- References -- Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies -- 1 Introduction -- 2 Background and Related Work -- 3 Corpus-Specific Vocabularies -- 3.1 Vocabulary Selection -- 3.2 Pre-training Objectives -- 3.3 Sparse Retrieval Models -- 3.4 Document Expansion -- 3.5 Distillation-Based Training -- 4 Experiments -- 4.1 Setup -- 4.2 Vocabulary Selection and Index Statistics -- 4.3 Retrieval Quality -- 4.4 Query Latency -- 4.5 Pre-training Cost and Model Size -- 5 Conclusion and Future Work -- References -- Interactive Topic Tagging in Community Question Answering Platforms -- 1 Introduction -- 2 Related Work.
3 Proposed Method -- 3.1 Problem Definition -- 3.2 Question and Tag Embedding -- 3.3 Question Tagging Model -- 3.4 Feedback-Aware Question Tagging -- 4 Experiments -- 4.1 Dataset -- 4.2 Baselines -- 4.3 Evaluation Strategy -- 4.4 Results and Findings -- 5 Concluding Remarks -- References -- Yes, This Is What I Was Looking For! Towards Multi-modal Medical Consultation Concern Summary Generation -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 3.1 Data Collection and Annotation -- 3.2 Qualitative Aspects -- 4 Methodology -- 4.1 Multi-modal Feature Extraction -- 4.2 Contextualized M-Modality Fusion -- 4.3 MMCS Generation -- 4.4 Experimental Details -- 5 Result and Discussion -- 5.1 Experimental Results -- 5.2 Findings to Research Questions -- 6 Analysis -- 7 Conclusion -- 8 Ethical Consideration -- References -- Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer -- 1 Introduction -- 2 Related Works -- 3 Background -- 3.1 Notation -- 3.2 Matrix Factorization -- 3.3 Factorization Machine -- 3.4 Logic Tensor Networks -- 4 Method -- 4.1 Real Logic Knowledge Base -- 4.2 Grounding of Symbols -- 4.3 Learning of the LTN -- 5 Experiments -- 5.1 Datasets -- 5.2 Experimental Setting -- 5.3 Training Details -- 6 Results -- 7 Conclusions and Future Works -- References -- InDi: Informative and Diverse Sampling for Dense Retrieval -- 1 Introduction -- 2 Preliminaries and Notation -- 3 Methods -- 3.1 Informative and Diverse Sampling -- 3.2 In-Batch Deduplication -- 4 Experimental Setup -- 5 Results -- 5.1 Main Results -- 5.2 Fine-Grained Topical Understanding -- 5.3 Additional Dataset -- 5.4 Diversity and Informativeness Importance -- 5.5 Diversity and Informativeness Measures -- 5.6 Ablation -- 5.7 Cross Encoder Filtering with InDi -- 5.8 Computational Surplus -- 6 Related Work -- 6.1 Retrieval -- 6.2 Negative Selection for Dense Retrieval.
6.3 Active Learning -- 7 Conclusions -- References -- Short Papers -- Enhancing Legal Named Entity Recognition Using RoBERTa-GCN with CRF: A Nuanced Approach for Fine-Grained Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 5 Experimental Setup -- 6 Results -- 7 Conclusion -- References -- A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT -- 1 Introduction and Background -- 2 Method -- 3 Experiments -- 4 Conclusion and Future Work -- References -- An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation -- 1 Introduction -- 2 Method -- 2.1 Framework -- 2.2 Implementation of Group-Specification -- 2.3 Algorithm -- 3 Experiment -- 3.1 Experimental Configurations -- 3.2 Offline Experiment and Sensitivity Analysis -- 3.3 Online A/B Test and Ablation Test -- 4 Conclusion -- References -- A Study on Hierarchical Text Classification as a Seq2seq Task -- 1 Introduction -- 2 Analysis Framework -- 2.1 Sequence Modeling -- 2.2 Decoding Strategies -- 2.3 Proposed Metrics -- 3 Experiment and Datasets -- 3.1 Datasets and Implementation Details -- 3.2 Results -- 4 Conclusion -- References -- Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning -- 1 Introduction -- 2 Methodology -- 2.1 Dense Retriever with Self-supervised Contrastive Learning -- 2.2 Dense Retriever with Dual Learning -- 2.3 Dense Retriever with Dual Learning and Self-Teaching -- 3 Experimental Setup -- 4 Results -- 5 Conclusions -- References -- Learning-to-Rank with Nested Feedback -- 1 Introduction and Related Work -- 2 Modeling Nested Ranking Signals -- 3 Experimental Validation -- 3.1 Offline Training and Experiment Results -- 3.2 Online A/B Experimentation -- 4 Discussion and Future Work -- References.
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation.
Record Nr. UNISA-996589544003316
Goharian Nazli  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Information Retrieval : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III
Advances in Information Retrieval : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part III
Autore Goharian Nazli
Edizione [1st ed.]
Pubbl/distr/stampa Cham : , : Springer, , 2024
Descrizione fisica 1 online resource (528 pages)
Disciplina 025.524
Altri autori (Persone) TonellottoNicola
HeYulan
LipaniAldo
McDonaldGraham
MacdonaldCraig
OunisIadh
Collana Lecture Notes in Computer Science Series
ISBN 3-031-56063-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part III -- Full Papers -- Knowledge Graph Cross-View Contrastive Learning for Recommendation -- 1 Introduction -- 2 Related Work -- 3 Model Architecture -- 3.1 Problem Formulation -- 3.2 Local-Level Learning -- 3.3 Global-Level Learning -- 3.4 Cross-View Contrastive Learning -- 4 Experiments -- 4.1 Datasets and Evaluation Protocol -- 4.2 Baselines -- 4.3 Performance Comparison with Baselines (RQ1) -- 4.4 Ablation Study (RQ2) -- 4.5 Sensitivity Analysis (RQ3) -- 5 Conclusions -- References -- Mu2STS: A Multitask Multimodal Sarcasm-Humor-Differential Teacher-Student Model for Sarcastic Meme Detection -- 1 Introduction -- 2 Related Works -- 3 Meme Corpus Creation -- 4 Methodology -- 4.1 Problem Formulation -- 4.2 Encoding of Meme -- 4.3 Multimodal Multisegment Multihead Fusion with Cross-Modal Understanding (M3F-CmU) Module -- 4.4 Humor-Aware Sarcasm Synced Teacher Training (HuS-STT) Module -- 4.5 Sarcasm-Illuminator Student Model Training (SaI-SMT) Module -- 5 Results and Analysis -- 5.1 Experimental Details -- 5.2 Comparison with Baselines -- 5.3 Ablation Study -- 5.4 Detailed Analysis -- 5.5 Cross-Lingual Generalization -- 5.6 Comparison with the State-of-the-Art (SOTA) Models -- 6 Error Analysis and Limitations -- 7 Conclusion and Future Work -- References -- Robustness in Fairness Against Edge-Level Perturbations in GNN-Based Recommendation -- 1 Introduction -- 2 Related Work -- 2.1 Attacks and Robustness in Recommendation -- 2.2 Fairness in Recommendation -- 2.3 Robustness and Beyond-Accuracy Aspects -- 3 Methodology -- 3.1 Perturbation Task in Graph-Based Recommendation -- 3.2 Graph Perturbation Mechanism -- 3.3 Fairness Notion and Operationalization -- 4 Experimental Evaluation -- 4.1 Evaluation Setting -- 4.2 RQ1: Impact on Robustness in Fairness.
4.3 RQ2: Robustness in Fairness Under Incremental Perturbations -- 4.4 RQ3: Edge Perturbations Influence on Groups -- 5 Conclusions -- References -- Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search Engines -- 1 Introduction -- 2 Related Work -- 3 Data and Feature Extraction -- 4 SEO Spam in Product Reviews -- 5 Temporal Analysis of Product Reviews -- 6 Conclusion -- References -- GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential Recommendation -- 1 Introduction -- 2 Methodology -- 2.1 Interaction Sequence Encoder -- 2.2 Dynamic Graph Based Memory -- 2.3 Output Gating -- 2.4 Attentive Reading of Graph Memory -- 2.5 End-to-End Training -- 3 Related Work -- 4 Experiments -- 4.1 Discussion -- 5 Conclusion -- References -- Effective Adhoc Retrieval Through Traversal of a Query-Document Graph -- 1 Introduction -- 2 Related Work -- 3 Query-Document Graph -- 3.1 Query Population -- 3.2 Ranking Neighbours -- 4 QDG in an Adaptive Retrieval Framework -- 4.1 Reverted Adaptive Retrieval -- 4.2 Resource Selection -- 5 Experiments -- 5.1 Experimental Setup -- 5.2 Results -- 6 Qualitative Analysis -- 7 Conclusions -- References -- How to Forget Clients in Federated Online Learning to Rank? -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Preliminary -- 3.2 Unlearning in FOLTR -- 3.3 Efficiency Analysis -- 3.4 Evaluating Unlearning -- 4 Experimental Setup -- 5 Results and Analysis -- 5.1 Validation of Evaluation Methodology -- 5.2 Effectiveness of Unlearning -- 5.3 Hyper-parameters Analysis -- 6 Conclusion -- References -- An Adaptive Feature Selection Method for Learning-to-Enumerate Problem -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 4 Experiments -- 4.1 Experimental Result -- 4.2 Analysis on Why AdaFeaSE Works -- 4.3 Lasso with Initial Weight Values Being 1 -- 4.4 Scalability of the Algorithm.
5 Conclusions -- References -- A Transformer-Based Object-Centric Approach for Date Estimation of Historical Photographs -- 1 Introduction -- 2 Related Work -- 3 DEW-B Dataset -- 4 Method -- 4.1 Single Image Date Estimation Model -- 4.2 Leveraging Object Detection for Date Estimation -- 4.3 DEXPERT Architecture -- 5 Experiments -- 6 Conclusions -- A Implementation details -- References -- Shallow Cross-Encoders for Low-Latency Retrieval -- 1 Introduction -- 2 Efficiency/Effectiveness Tradeoffs in Cross-Encoders -- 3 Training Shallow Cross-Encoders with gBCE -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 RQ1. Efficiency/Effectiveness Tradeoffs -- 4.3 RQ2. Effect of the Training Scheme -- 4.4 RQ3. CPU Inference -- 5 Conclusion -- A Effect of gBCE Training Scheme on Tiny BERT-Based Cross-Encoder on the MS MARCO Dev Set -- References -- Asking Questions Framework for Oral History Archives -- 1 Introduction -- 2 Speech Recognition for Oral Archives -- 3 Asking Questions Framework -- 3.1 Asking Questions Model -- 3.2 Semantic Continuity Model -- 4 Experimental Evaluation -- 4.1 Semantic Continuity Model Evaluation -- 4.2 AQ Models Comparison -- 5 Asking Questions Demonstrator -- 6 Conclusion and Future Work -- References -- Improved Learned Sparse Retrieval with Corpus-Specific Vocabularies -- 1 Introduction -- 2 Background and Related Work -- 3 Corpus-Specific Vocabularies -- 3.1 Vocabulary Selection -- 3.2 Pre-training Objectives -- 3.3 Sparse Retrieval Models -- 3.4 Document Expansion -- 3.5 Distillation-Based Training -- 4 Experiments -- 4.1 Setup -- 4.2 Vocabulary Selection and Index Statistics -- 4.3 Retrieval Quality -- 4.4 Query Latency -- 4.5 Pre-training Cost and Model Size -- 5 Conclusion and Future Work -- References -- Interactive Topic Tagging in Community Question Answering Platforms -- 1 Introduction -- 2 Related Work.
3 Proposed Method -- 3.1 Problem Definition -- 3.2 Question and Tag Embedding -- 3.3 Question Tagging Model -- 3.4 Feedback-Aware Question Tagging -- 4 Experiments -- 4.1 Dataset -- 4.2 Baselines -- 4.3 Evaluation Strategy -- 4.4 Results and Findings -- 5 Concluding Remarks -- References -- Yes, This Is What I Was Looking For! Towards Multi-modal Medical Consultation Concern Summary Generation -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 3.1 Data Collection and Annotation -- 3.2 Qualitative Aspects -- 4 Methodology -- 4.1 Multi-modal Feature Extraction -- 4.2 Contextualized M-Modality Fusion -- 4.3 MMCS Generation -- 4.4 Experimental Details -- 5 Result and Discussion -- 5.1 Experimental Results -- 5.2 Findings to Research Questions -- 6 Analysis -- 7 Conclusion -- 8 Ethical Consideration -- References -- Mitigating Data Sparsity via Neuro-Symbolic Knowledge Transfer -- 1 Introduction -- 2 Related Works -- 3 Background -- 3.1 Notation -- 3.2 Matrix Factorization -- 3.3 Factorization Machine -- 3.4 Logic Tensor Networks -- 4 Method -- 4.1 Real Logic Knowledge Base -- 4.2 Grounding of Symbols -- 4.3 Learning of the LTN -- 5 Experiments -- 5.1 Datasets -- 5.2 Experimental Setting -- 5.3 Training Details -- 6 Results -- 7 Conclusions and Future Works -- References -- InDi: Informative and Diverse Sampling for Dense Retrieval -- 1 Introduction -- 2 Preliminaries and Notation -- 3 Methods -- 3.1 Informative and Diverse Sampling -- 3.2 In-Batch Deduplication -- 4 Experimental Setup -- 5 Results -- 5.1 Main Results -- 5.2 Fine-Grained Topical Understanding -- 5.3 Additional Dataset -- 5.4 Diversity and Informativeness Importance -- 5.5 Diversity and Informativeness Measures -- 5.6 Ablation -- 5.7 Cross Encoder Filtering with InDi -- 5.8 Computational Surplus -- 6 Related Work -- 6.1 Retrieval -- 6.2 Negative Selection for Dense Retrieval.
6.3 Active Learning -- 7 Conclusions -- References -- Short Papers -- Enhancing Legal Named Entity Recognition Using RoBERTa-GCN with CRF: A Nuanced Approach for Fine-Grained Entity Recognition -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 4 Methodology -- 5 Experimental Setup -- 6 Results -- 7 Conclusion -- References -- A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT -- 1 Introduction and Background -- 2 Method -- 3 Experiments -- 4 Conclusion and Future Work -- References -- An Adaptive Framework of Geographical Group-Specific Network on O2O Recommendation -- 1 Introduction -- 2 Method -- 2.1 Framework -- 2.2 Implementation of Group-Specification -- 2.3 Algorithm -- 3 Experiment -- 3.1 Experimental Configurations -- 3.2 Offline Experiment and Sensitivity Analysis -- 3.3 Online A/B Test and Ablation Test -- 4 Conclusion -- References -- A Study on Hierarchical Text Classification as a Seq2seq Task -- 1 Introduction -- 2 Analysis Framework -- 2.1 Sequence Modeling -- 2.2 Decoding Strategies -- 2.3 Proposed Metrics -- 3 Experiment and Datasets -- 3.1 Datasets and Implementation Details -- 3.2 Results -- 4 Conclusion -- References -- Improving the Robustness of Dense Retrievers Against Typos via Multi-Positive Contrastive Learning -- 1 Introduction -- 2 Methodology -- 2.1 Dense Retriever with Self-supervised Contrastive Learning -- 2.2 Dense Retriever with Dual Learning -- 2.3 Dense Retriever with Dual Learning and Self-Teaching -- 3 Experimental Setup -- 4 Results -- 5 Conclusions -- References -- Learning-to-Rank with Nested Feedback -- 1 Introduction and Related Work -- 2 Modeling Nested Ranking Signals -- 3 Experimental Validation -- 3.1 Offline Training and Experiment Results -- 3.2 Online A/B Experimentation -- 4 Discussion and Future Work -- References.
MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation.
Record Nr. UNINA-9910845480003321
Goharian Nazli  
Cham : , : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part II / / Jaap Kamps [and eight others], editors
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part II / / Jaap Kamps [and eight others], editors
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023]
Descrizione fisica 1 online resource (735 pages)
Disciplina 025.524
Collana Lecture Notes in Computer Science
Soggetto topico Information retrieval
ISBN 3-031-28238-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Full Papers -- Automatic Summarization of Financial Earnings Calls Transcript -- Parameter-Efficient Sparse Retrievers and Rerankers using Adapters -- Feature Differentiation and Fusion for Semantic Text Matching -- Multivariate Powered Dirichlet-Hawkes Process -- Fragmented Visual Attention in Web Browsing: Weibull Analysis of Item Visit Times -- Topic-Enhanced Personalized Retrieval-based Chatbot -- Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets -- SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval -- Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection -- What is your cause for concern? Towards Interpretable Complaint Cause Analysis -- DeCoDE: DEtection of COgnitive Distortion and Emotion cause extraction in clinical conversations -- Domain-aligned Data Augmentation for Low-resource and Imbalanced Text Classification -- Privacy-Preserving Fair Item Ranking -- Multimodal Geolocation Estimation of News Photos -- Topics in Contextualised Attention Embeddings -- New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches -- Probing BERT for Ranking Abilities -- Clustering of Bandit with Frequency-Dependent Information Sharing -- Contrastive Graph Learning with Positional Representation for Recommendation -- Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce -- Short Papers Improving Neural Topic Models with Wasserstein Knowledge Distillation -- Towards Effective Paraphrasing for Information Disguise -- Generating Topic Pages for Scientific Concepts Using Scientific Publications -- Relevance Judgements for Fair Ranking -- A Study of Term-Topic Embeddings for Ranking -- Topic Refinement in Multi-Level Hate Speech Detection -- Is Cross-modal Information Retrieval Possible without Training? -- Adversarial Adaptation for French Named Entity Recognition -- Exploring Fake News Detection with Heterogeneous Social Media Context Graphs -- Justifying Multi-Label Text Classifications for Healthcare Applications -- Doc2Query–: When Less is More -- Towards Quantifying The Privacy Of Redacted Text. -Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study -- Leveraging Comment Retrieval for Code Summarization -- CPR: Cross-domain Preference Ranking with User Transformation -- Colbert-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval -- C2LIR: Continual Cross-lingual Transfer for Low-Resource Information Retrieval -- Joint Extraction and Classification of Danish Competences for Job Matching -- A Study on FGSM Adversarial Training for Neural Retrieval -- Dialogue-to-Video Retrieval -- Time-dependent next-basket recommendations -- Investigating the Impact of Query Representation on Medical Information Retrieval -- Where a Little Change Makes a Big Difference: A Preliminary Exploration of Children’s Queries -- Multi-document QA with GPT-3 and Neural Reranking -- Towards Detecting Interesting Ideas Expressed in Text -- Towards Linguistically Informed Multi-Objective Transformer Pre-Training for Natural Language Inference -- Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks -- Consumer Health Question Answering Using Off-the-shelf Components -- MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization -- Don’t Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments -- Learning Query-Space Document Representations for High-Recall Retrieval -- Investigating Conversational Search Behavior For Domain Exploration -- Evaluating Humorous Response Generation to Playful Shopping Requests -- Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents -- Trigger or not Trigger: Dynamic Thresholding for Few Shot Event Detection -- The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance -- Neural Ad hoc Retrieval Meets Information Extraction -- Augmenting Graph Convolutional Networks with Textual Data for Recommendations -- Utilising Twitter Metadata for Hate Classification -- Evolution of Filter Bubbles and Polarization in News Recommendation -- Capturing Cross-platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns.
Record Nr. UNISA-996517754103316
Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part II / / Jaap Kamps [and eight others], editors
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part II / / Jaap Kamps [and eight others], editors
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023]
Descrizione fisica 1 online resource (735 pages)
Disciplina 025.524
Collana Lecture Notes in Computer Science
Soggetto topico Information retrieval
ISBN 3-031-28238-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Full Papers -- Automatic Summarization of Financial Earnings Calls Transcript -- Parameter-Efficient Sparse Retrievers and Rerankers using Adapters -- Feature Differentiation and Fusion for Semantic Text Matching -- Multivariate Powered Dirichlet-Hawkes Process -- Fragmented Visual Attention in Web Browsing: Weibull Analysis of Item Visit Times -- Topic-Enhanced Personalized Retrieval-based Chatbot -- Improving the Generalizability of the Dense Passage Retriever Using Generated Datasets -- SegmentCodeList: Unsupervised Representation Learning for Human Skeleton Data Retrieval -- Knowing What and How: A Multi-modal Aspect-Based Framework for Complaint Detection -- What is your cause for concern? Towards Interpretable Complaint Cause Analysis -- DeCoDE: DEtection of COgnitive Distortion and Emotion cause extraction in clinical conversations -- Domain-aligned Data Augmentation for Low-resource and Imbalanced Text Classification -- Privacy-Preserving Fair Item Ranking -- Multimodal Geolocation Estimation of News Photos -- Topics in Contextualised Attention Embeddings -- New Metrics to Encourage Innovation and Diversity in Information Retrieval Approaches -- Probing BERT for Ranking Abilities -- Clustering of Bandit with Frequency-Dependent Information Sharing -- Contrastive Graph Learning with Positional Representation for Recommendation -- Domain Adaptation for Anomaly Detection on Heterogeneous Graphs in E-Commerce -- Short Papers Improving Neural Topic Models with Wasserstein Knowledge Distillation -- Towards Effective Paraphrasing for Information Disguise -- Generating Topic Pages for Scientific Concepts Using Scientific Publications -- Relevance Judgements for Fair Ranking -- A Study of Term-Topic Embeddings for Ranking -- Topic Refinement in Multi-Level Hate Speech Detection -- Is Cross-modal Information Retrieval Possible without Training? -- Adversarial Adaptation for French Named Entity Recognition -- Exploring Fake News Detection with Heterogeneous Social Media Context Graphs -- Justifying Multi-Label Text Classifications for Healthcare Applications -- Doc2Query–: When Less is More -- Towards Quantifying The Privacy Of Redacted Text. -Detecting Stance of Authorities towards Rumors in Arabic Tweets: A Preliminary Study -- Leveraging Comment Retrieval for Code Summarization -- CPR: Cross-domain Preference Ranking with User Transformation -- Colbert-FairPRF: Towards Fair Pseudo-Relevance Feedback in Dense Retrieval -- C2LIR: Continual Cross-lingual Transfer for Low-Resource Information Retrieval -- Joint Extraction and Classification of Danish Competences for Job Matching -- A Study on FGSM Adversarial Training for Neural Retrieval -- Dialogue-to-Video Retrieval -- Time-dependent next-basket recommendations -- Investigating the Impact of Query Representation on Medical Information Retrieval -- Where a Little Change Makes a Big Difference: A Preliminary Exploration of Children’s Queries -- Multi-document QA with GPT-3 and Neural Reranking -- Towards Detecting Interesting Ideas Expressed in Text -- Towards Linguistically Informed Multi-Objective Transformer Pre-Training for Natural Language Inference -- Dirichlet-Survival Process: Scalable Inference of Topic-Dependent Diffusion Networks -- Consumer Health Question Answering Using Off-the-shelf Components -- MOO-CMDS+NER: Named Entity Recognition-based Extractive Comment-oriented Multi-document Summarization -- Don’t Raise Your Voice, Improve Your Argument: Learning to Retrieve Convincing Arguments -- Learning Query-Space Document Representations for High-Recall Retrieval -- Investigating Conversational Search Behavior For Domain Exploration -- Evaluating Humorous Response Generation to Playful Shopping Requests -- Joint Span Segmentation and Rhetorical Role Labeling with Data Augmentation for Legal Documents -- Trigger or not Trigger: Dynamic Thresholding for Few Shot Event Detection -- The Impact of a Popularity Punishing Hyperparameter on ItemKNN Recommendation Performance -- Neural Ad hoc Retrieval Meets Information Extraction -- Augmenting Graph Convolutional Networks with Textual Data for Recommendations -- Utilising Twitter Metadata for Hate Classification -- Evolution of Filter Bubbles and Polarization in News Recommendation -- Capturing Cross-platform Interaction for Identifying Coordinated Accounts of Misinformation Campaigns.
Record Nr. UNINA-9910682559203321
Cham, Switzerland : , : Springer, Springer Nature Switzerland AG, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part III / / Jaap Kamps [and eight others], editors
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part III / / Jaap Kamps [and eight others], editors
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2023]
Descrizione fisica 1 online resource (635 pages)
Disciplina 025.524
Collana Lecture Notes in Computer Science
Soggetto topico Information retrieval
ISBN 3-031-28241-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Reproducibility Papers -- Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation -- Stat-weight: Improving the Estimator of Interleaved Methods Outcomes with Statistical Hypothesis Testing -- A Reproducibility Study of Question Retrieval for Clarifying Questions -- The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer -- Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study -- Index-Based Batch Query Processing Revisited -- A Unified Framework for Learned Sparse Retrieval -- Entity Embeddings for Entity Ranking: A Replicability Study -- Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues? -- PyGaggle: A Gaggle of Resources for Open-Domain Question Answering -- Pre-Processing Matters! Improved Wikipedia Corpora for Open-Domain Question Answering -- From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track -- Demonstration Papers -- Exploring Tabular Data Through Networks -- InfEval: Application for Object Detection Analysis -- The System for Efficient Indexing and Search in the Large Archives of Scanned Historical Documents -- Public News Archive: A Searchable Sub-Archive to Portuguese Past News Articles -- TweetStream2Story: Narrative Extraction from Tweets in Real Time -- SimpleRad: patient-friendly Dutch radiology reports -- Automated Extraction of Fine-Grained Standardized Product Information from Unstructured Multilingual Web Data -- Continuous Integration for Reproducible Shared Tasks with TIRA.io -- Dynamic Exploratory Search for the Information Retrieval Anthology -- Text2Storyline: Generating Enriched Storylines From Text -- Uptrendz: API-Centric Real-Time Recommendations in Multi-Domain Settings -- Clustering Without Knowing How To: Application and Evaluation -- Enticing local governments to produce FAIR freedom of information act dossiers -- Which Country is this? Automatic Country Ranking of StreetView Images -- Automatic Videography Generation from Audio Tracks -- Ablesbarkeitsmesser: A System for Assessing the Readability of German Text -- FACADE: Fake Articles Classification And Decision Explanation -- PsyProf: A Platform for Assisted Screening of Depression in Social Media -- SOPalign: A Tool for Automatic Estimation of Compliance with Medical Guidelines -- Tutorials -- Understanding and Mitigating Gender Bias in Information Retrieval Systems -- Neuro-Symbolic Representations for Information Retrieval -- Legal IR and NLP: the History, Challenges, and State-of-the-Art -- Deep Learning Methods for Query Auto Completion -- Trends and Overview: The Potential of Conversational Agents in Digital Health -- Crowdsourcing for Information Retrieval -- Uncertainty Quantification for Text Classification -- Workshops -- Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023) -- The 6th International Workshop on Narrative Extraction from Texts (Text2Story’23) -- 2nd Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS): Evaluation Metrics and Protocols for eDiscovery and Systematic Review Systems -- Workshop QPP++ 2023: Query Performance Prediction and Ist Evaluation in New Tasks -- Bibliometric-enhanced Information Retrieval: 13th International BIR Workshop (BIR˜2023) -- Geographic information extraction from texts (GeoExT) -- ROMCIR 2023: Overview of the 3rd Workshop on Reducing Online Misinformation through Credible Information Retrieval -- ECIR 2023 workshop proposal: Legal Information Retrieval -- Doctoral Consoritum -- Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing -- Text Information Retrieval in Tetun -- Identifying and Representing Knowledge Delta in Scientific Literature -- Investigation of Bias in Web Search Queries -- Monitoring online discussions and responses to support the identification of misinformation -- User Privacy in Recommender Systems -- Conversational Search for Multimedia Archives -- Disinformation Detection: Knowledge Infusion with Transfer Learning and Visualizations -- A Comprehensive Overview of Consumer Conflicts on Social Media -- Designing useful conversational interfaces for information retrieval in career decision-making support -- CLEF Lab Descriptions iDPP@CLEF 2023: The Intelligent Disease Progression Prediction Challenge -- LongEval: Longitudinal Evaluation of Model Performance at CLEF 2023 -- The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority -- Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection -- Overview of Touché 2023: Argument and Causal Retrieval -- CLEF 2023 SimpleText Track: What Happens if General Users Search Scientific Texts? -- Science for Fun: The CLEF 2023 JOKER Track on Automatic Wordplay Analysis -- ImageCLEF 2023 Highlight: Multimedia Retrieval in Medical, Social Media and Content Recommendation Applications -- LifeCLEF 2023 teaser: Species Identification and Prediction Challenges -- BioASQ at CLEF2023: The eleventh edition of the Large-scale biomedical semantic indexing and question answering challenge -- eRisk 2023: Depression, Pathological Gambling, and Eating Disorder Challenges -- Overview of EXIST 2023: sEXism Identification in Social neTworks -- DocILE 2023 Teaser: Document Information Localization and Extraction.
Record Nr. UNISA-996517754303316
Cham, Switzerland : , : Springer, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part I / / edited by Jaap Kamps [and eight others]
Advances in information retrieval : 45th European conference on information retrieval, ECIR 2023, Dublin, Ireland, April 2-6, 2023, proceedings, Part I / / edited by Jaap Kamps [and eight others]
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
Descrizione fisica 1 online resource (781 pages)
Disciplina 025.524
Collana Lecture Notes in Computer Science
Soggetto topico Information retrieval
ISBN 3-031-28244-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Full Papers -- Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval -- User Requirement Analysis for a Recommender System-Based Meeting Assistant -- Auditing Consumer- and Producer-Fairness in Graph Collaborative Filtering -- Exploiting Graph Structured Cross-Domain Representation for Multi-Domain Recommendation -- Injecting the BM25 Score as Text Improves BERT-Based Re-rankers -- Quantifying Valence and Arousal in Text with Multilingual Pre-trained Transformers -- A Knowledge Infusion based Multitasking System for Sarcasm Detection in Meme -- Multilingual Detection of Check-Worthy Claims using World Languages and Adapter Fusion -- Market-Aware Models for Efficient Cross Market Recommendation -- TourismNLG: A Multi-lingual Generative Benchmark for the Tourism Domain -- An Interpretable Knowledge Representation Framework for Natural Language Processing with Cross-Domain Application -- Graph-based Recommendation for Sparse and Heterogeneous User Interactions -- It’s Just a Matter of Time: Detecting Depression with Time-Enriched Multimodal Transformers -- Recommendation Algorithm Based on Deep Light Graph Convolution Network in Knowledge Graph -- Query Performance Prediction for Neural IR: Are We There Yet? -- Item Graph Convolutional Collaborative Filtering for Inductive Recommendations -- CoLISA: Inner Interaction via Contrastive Learning for Multi-Choice Reading Comprehension -- Viewpoint Diversity in Search Results -- COILCR: Efficient Semantic Matching in Contextualized Exact Match Retrieval -- Bootstrapped nDCG Estimation in the Presence of Unjudged Documents -- Predicting the Listening Contexts of Music Playlists Using Knowledge Graphs -- Keyword Embeddings for Query Suggestion -- Domain-driven and Discourse-guided Scientific Summarisation -- Injecting Temporal-aware Knowledge in Historical Named Entity Recognition -- A Mask-based Logic Rules Dissemination Method for Sentiment Classifiers -- Contrasting Neural Click Models and Pointwise IPS Rankers -- Sentence Retrieval for Open-Ended Dialogue using Dual Contextual Modeling -- Temporal Natural Language Inference: Evidence-based Evaluation of Temporal Text Validity -- Theoretical Analysis on the Efficiency of Interleaved Comparisons -- Intention-aware Neural Networks for Question Paraphrase Identification -- Automatic and Analytical Field Weighting for Structured Document Retrieval -- An Experimental Study on Pretraining Transformers from Scratch for IR -- Neural Approaches to Multilingual Information Retrieval -- CoSPLADE: Contextualizing SPLADE for Conversational Information Retrieval -- SR-CoMbEr: Heterogeneous Network Embedding using Community Multi-view Enhanced Graph Convolutional Network for Automating Systematic Reviews -- Multimodal Inverse Cloze Task for Knowledge-based Visual Question Answering -- A Transformer-based Framework for POI-level Social Post Geolocation -- Document-Level Relation Extraction with Distance-dependent Bias Network and Neighbors Enhanced Loss -- Investigating Conversational Agent Action in Legal Case Retrieval -- MS-Shift: An Analysis of MS MARCO Distribution Shifts on Neural Retrieval -- Listwise Explanations for Ranking Models using Multiple Explainers -- Improving video retrieval using multilingual knowledge transfer -- Service is good, very good or excellent? Towards Aspect based Sentiment Intensity Analysis -- Effective Hierarchical Information Threading using Network Community Detection -- HADA: A Graph-based Amalgamation Framework in Image-Text Retrieval.
Record Nr. UNISA-996517752203316
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui