Edizione	[1st ed. 2021.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica	1 online resource (181 pages)
Disciplina	025.04
Collana	Communications in Computer and Information Science
Soggetto topico	Database management Database Management System Recuperació de la informació Sistemes d'informació Algorismes computacionals
Soggetto genere / forma	Congressos Llibres electrònics
ISBN	3-030-78818-0
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features -- Media Bias Everywhere? A Vision for Dealing with the Manipulation of Public Opinion -- Users' Perception of Search-Engine Biases and Satisfaction -- Preliminary Experiments to Examine the Stability of Bias-Aware Techniques -- Detecting Race and Gender Bias in Visual Representation of AI on Web Search Engines -- Equality of Opportunity in Ranking: A Fair-Distributive Model -- Incentives for Item Duplication under Fair Ranking Policies -- Quantification of the Impact of Popularity Bias in Multi-Stakeholder and Time-Aware Environment -- When is a Recommendation Model Wrong? A Model-Agnostic Tree-Based Approach to Detecting Biases in Recommendations -- Evaluating Video Recommendation Bias on YouTube -- An Information-Theoretic Measure for Enabling Category Exemptions with an Application to Filter Bubbles -- Perception-Aware Bias Detection for Query Suggestions -- Crucial Challenges in Large-Scale Black Box Analyses -- New Performance Metrics for Offline Content-based TV Recommender Systems.
Record Nr.	UNINA-9910488695103321

Autore	Goharian Nazli
Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (505 pages)
Disciplina	025.04
Altri autori (Persone)	TonellottoNicola HeYulan LipaniAldo McDonaldGraham MacdonaldCraig OunisIadh
Collana	Lecture Notes in Computer Science
Soggetto topico	Information storage and retrieval systems Database management Data mining Natural language processing (Computer science) Machine learning Information Storage and Retrieval Database Management System Data Mining and Knowledge Discovery Natural Language Processing (NLP) Machine Learning Recuperació de la informació
Soggetto genere / forma	Congressos Llibres electrònics
ISBN	9783031560606 3031560604
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	information retrieval -- retrieval models and architectures -- classification -- query processing and ranking -- efficiency and scalability -- deep learning and neural models -- natural language processing -- graph models -- web search -- recommender systems -- web and social media apps -- professional and domain-specific search -- novel interfaces to search tools -- intelligent search -- conversational agents.-evaluation retrieval systems -- bias -- ethics -- fake news and hate speech.
Record Nr.	UNINA-9910845091303321

Edizione	[1st ed. 2023.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica	1 online resource (735 pages)
Disciplina	025.524
Collana	Lecture Notes in Computer Science
Soggetto topico	Information storage and retrieval systems Machine learning Natural language processing (Computer science) Education - Data processing Social sciences - Data processing Information Storage and Retrieval Machine Learning Natural Language Processing (NLP) Computers and Education Computer Application in Social and Behavioral Sciences Recuperació de la informació
Soggetto genere / forma	Congressos Llibres electrònics
ISBN	9783031282386 3031282388
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 InterestingIdeas 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

Edizione	[1st ed. 2022.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica	1 online resource (734 pages)
Disciplina	025.0425
Collana	Lecture Notes in Computer Science
Soggetto topico	User interfaces (Computer systems) Human-computer interaction Information storage and retrieval systems Database management Data mining Application software Artificial intelligence User Interfaces and Human Computer Interaction Information Storage and Retrieval Database Management Data Mining and Knowledge Discovery Computer and Information Systems Applications Artificial Intelligence Recuperació de la informació
Soggetto genere / forma	Congressos Llibres electrònics
ISBN	9783030997366 3030997367
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910559385003321

Edizione	[1st ed. 2024.]
Pubbl/distr/stampa	Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica	1 online resource (528 pages)
Disciplina	025.524
Collana	Lecture Notes in Computer Science
Soggetto topico	Information storage and retrieval systems Database management Data mining Machine learning Natural language processing (Computer science) Information Storage and Retrieval Database Management System Data Mining and Knowledge Discovery Machine Learning Natural Language Processing (NLP) Recuperació de la informació
Soggetto genere / forma	Congressos Llibres electrònics
ISBN	9783031560637 3031560639
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