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. 2021.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica	1 online resource (xxxiii, 738 pages)
Disciplina	025.04 025.0425
Collana	Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico	Information storage and retrieval systems Machine theory Education - Data processing Machine learning Natural language processing (Computer science) User interfaces (Computer systems) Human-computer interaction Information Storage and Retrieval Formal Languages and Automata Theory Computers and Education Machine Learning Natural Language Processing (NLP) User Interfaces and Human Computer Interaction Recuperació de la informació
Soggetto genere / forma	Congressos Llibres electrònics
ISBN	3-030-72113-2
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Information retrieval -- Document representation -- Interactive information retrieval -- Web search engines -- Evaluation of retrieval results -- Multimedia and multimodal information retrieval -- Query processing -- Document ranking -- Recommendation -- Filtering -- Domain-specific search -- Enterprise search -- Artificial intelligence and machine learning for search and retrieval -- Conversational agents.
Record Nr.	UNINA-9910485030603321

Edizione	[1st ed. 2009.]
Pubbl/distr/stampa	Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2009
Descrizione fisica	1 online resource (XVI, 386 p.)
Disciplina	004
Collana	Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico	Recuperació de la informació Information storage and retrieval Artificial intelligence Data mining Database management Algorithms Application software Information Storage and Retrieval Artificial Intelligence Data Mining and Knowledge Discovery Database Management Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet)
Soggetto genere / forma	Congressos Llibres electrònics
ISBN	3-642-04417-4
Classificazione	DAT 825f SS 4800
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Invited Talk -- Is There Something Quantum-Like about the Human Mental Lexicon? -- Regular Papers -- Probably Approximately Correct Search -- PageRank: Splitting Homogeneous Singular Linear Systems of Index One -- Training Data Cleaning for Text Classification -- Semi-parametric and Non-parametric Term Weighting for Information Retrieval -- Bridging Language Modeling and Divergence from Randomness Models: A Log-Logistic Model for IR -- Ordinal Regression Based Model for Personalized Information Retrieval -- Navigating in the Dark: Modeling Uncertainty in Ad Hoc Retrieval Using Multiple Relevance Models -- A Belief Model of Query Difficulty That Uses Subjective Logic -- “A term is known by the company it keeps”: On Selecting a Good Expansion Set in Pseudo-Relevance Feedback -- An Effective Approach to Verbose Queries Using a Limited Dependencies Language Model -- Time-Sensitive Language Modelling for Online Term Recurrence Prediction -- Score Distributions in Information Retrieval -- Modeling the Score Distributions of Relevant and Non-relevant Documents -- Modeling Expected Utility of Multi-session Information Distillation -- Specificity Aboutness in XML Retrieval -- An Effectiveness Measure for Ambiguous and Underspecified Queries -- An Analysis of NP-Completeness in Novelty and Diversity Ranking -- From “Identical” to “Similar”: Fusing Retrieved Lists Based on Inter-document Similarities -- Short Papers -- A Quantum-Based Model for Interactive Information Retrieval -- The Quantum Probability Ranking Principle for Information Retrieval -- Written Texts as Statistical Mechanical Problem -- What Happened to Content-Based Information Filtering? -- Prior Information and the Determination of Event Spaces in Probabilistic Information Retrieval Models -- Robust Word Similarity Estimation Using Perturbation Kernels -- Possibilistic Similarity Estimation and Visualization -- A New Measure of the Cluster Hypothesis -- Explaining User Performance in Information Retrieval: Challenges to IR Evaluation -- A Four-Factor User Interaction Model for Content-Based Image Retrieval -- Predicting Query Performance by Query-Drift Estimation -- What’s in a Link? From Document Importance to Topical Relevance -- Avoiding Bias in Text Clustering Using Constrained K-means and May-Not-Links -- Optimizing WebPage Interest -- Posters -- The “Beautiful” in Information -- IR Evaluation without a Common Set of Topics -- An Ad Hoc Information Retrieval Perspective on PLSI through Language Model Identification -- Less Is More: Maximal Marginal Relevance as a Summarisation Feature -- On the Notion of “An Information Need” -- A Logical Inference Approach to Query Expansion with Social Tags -- Evaluating Mobile Proactive Context-Aware Retrieval: An Incremental Benchmark -- Predicting the Usefulness of Collection Enrichment for Enterprise Search -- Ranking List Dispersion as a Query Performance Predictor -- Semi-subsumed Events: A Probabilistic Semantics of the BM25 Term Frequency Quantification -- Batch-Mode Computational Advertising Based on Modern Portfolio Theory.
Record Nr.	UNISA-996465644303316

Pubbl/distr/stampa	Heidelberg, : Dpunkt.verlag
Descrizione fisica	1 online resource
Disciplina	005.74
Soggetto topico	Databases Information storage and retrieval systems Systèmes d'information Bases de dades Sistemes d'informació Recuperació de la informació
Soggetto genere / forma	Periodical periodicals. Periodicals Periodicals. Périodiques. Revistes electròniques.
ISSN	1610-1995
Formato	Materiale a stampa
Livello bibliografico	Periodico
Lingua di pubblicazione	ger
Record Nr.	UNINA-9910307946303321

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