Advances in Information Retrieval : 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part IV / edited by Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Reihen: Lecture Notes in Computer Science ; 15575Verlag: Cham : Springer Nature Switzerland, 2025Verlag: Cham : Imprint: Springer, 2025Auflage: 1st ed. 2025Beschreibung: 1 Online-Ressource(XXIV, 446 p. 87 illus., 80 illus. in color.)ISBN:

9783031887178

Schlagwörter:

Andere physische Formen: 9783031887161 | 9783031887185 | Erscheint auch als: 9783031887161 Druck-Ausgabe | Erscheint auch als: 9783031887185 Druck-AusgabeDDC-Klassifikation:

006.35 23

DOI: DOI: 10.1007/978-3-031-88717-8Online-Ressourcen:

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Zusammenfassung: -- FAIR-QR : Enhancing Fairness-aware Information Retrieval through Query Refinement. -- CLASP: Contrastive Language-Speech Pretraining for Multilingual Multimodal Information Retrieval. -- ColBERT-serve: Efficient Multi-Stage Memory-Mapped Scoring. -- Are Representation Disentanglement and Interpretability Linked in Recommendation Models? A Critical Review and Reproducibility Study. -- A Reproducibility Study on Consistent LLM Reasoning for Natural Language Inference over Clinical Trials. -- On the Reproducibility of Learned Sparse Retrieval Adaptations for Long Documents. -- Fact vs. Fiction: Are the Reportedly ”Magical” LLM-Based Sequential Recommenders Reproducible?. -- Reproducing HotFlip for Corpus Poisoning Attacks in Dense Retrieval. -- Combining and Evaluating Query Performance Predictors: A Reproducibility Study. -- A Reproducibility Study for Joint Information Retrieval and Recommendation in Product Search. -- Towards Reproducibility of Interactive Retrieval Experiments: Framework and Case Study. -- Revisiting Language Models in Neural News Recommender Systems. -- Multimodal feature extraction for assistive technology: evaluation and dataset. -- Improving novelty and diversity of nearest-neighbors recommendation by exploiting dissimilarities. -- LambdaFair for Fair and Effective Ranking. -- How Child-Friendly is Web Search? An Evaluation of Relevance vs. Harm. -- GASCADE: Grouped Summarization of Adverse Drug Event for Enhanced Cancer Pharmacovigilance. -- Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval- Augmented Generation in Recommender System. -- Tales and Truths: Exploring the Linguistic Journey of 19th Century Literature and Non-Fiction. -- Fair Exposure Allocation Using Generative Query Expansion. -- Enabling Low-Resource Language Retrieval: Establishing Baselines for Urdu MS MARCO. -- Improving Low-Resource Retrieval Effectiveness using Zero-Shot Linguistic Similarity Transfer. -- How to Diversify any Personalized Recommender?. -- Nano-ESG: Extracting Corporate Sustainability Information from News Articles. -- Verifying Cross-modal Entity Consistency in News using Visionlanguage Models. -- Improving Minimax Group Fairness in Sequential Recommendation. -- Call for Research on the Impact of Information Retrieval on Social Norms. -- FlashCheck: Exploration of Efficient Evidence Retrieval for Fast Fact-Checking. -- kANNolo: Sweet and Smooth Approximate k-Nearest Neighbors Search. -- TROPIC – Trustworthiness Rating of Online Publishers through online Interactions Calculation. -- LS-Dashboard: A Tool for Monitoring and Analyzing Data Annotation in Machine Learning Classification Tasks. -- SimplifyMyText: An LLM-Based System for Inclusive Plain Language Text Simplification. -- Sim4Rec: Flexible and Extensible Simulator for Recommender Systems for Large-Scale Data. -- TimIR: Time-Traveling through IR History. -- Prabodhini: Making Large Language Models Inclusive for Low-Text Literate Users.Zusammenfassung: The five-volume set LNCS 15572, 15573, 15574, 15575 and 15576 constitutes the refereed conference proceedings of the 47th European Conference on Information Retrieval, ECIR 2025, held in Lucca, Italy, during April 6–10, 2025. The 52 full papers, 11 findings, 42 short papers and 76 papers of other types presented in these proceedings were carefully reviewed and selected from 530 submissions. The accepted papers cover the state-of-the-art in information retrieval and recommender systems: user aspects, system and foundational aspects, artificial intelligence and machine learning, applications, evaluation, new social and technical challenges, and other topics of direct or indirect relevance to search and recommendation.PPN: PPN: 1922929123Package identifier: Produktsigel: ZDB-2-SEB | ZDB-2-SCS | ZDB-2-SXCS | ZDB-2-LNC

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