Katalog der Deutschen Nationalbibliothek
Ergebnis der Suche nach: "Machine Learning"
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| Link zu diesem Datensatz | https://d-nb.info/1365035158 |
| Titel | 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 |
| Person(en) |
Hauff, Claudia (Herausgeber) Macdonald, Craig (Herausgeber) Jannach, Dietmar (Herausgeber) Kazai, Gabriella (Herausgeber) Nardini, Franco Maria (Herausgeber) Pinelli, Fabio (Herausgeber) Silvestri, Fabrizio (Herausgeber) Tonellotto, Nicola (Herausgeber) |
| Organisation(en) | SpringerLink (Online service) (Sonstige) |
| Ausgabe | 1st ed. 2025 |
| Verlag | Cham : Springer Nature Switzerland, Imprint: Springer |
| Zeitliche Einordnung | Erscheinungsdatum: 2025 |
| Umfang/Format | Online-Ressource, XXIV, 446 p. 87 illus., 80 illus. in color. : online resource. |
| Andere Ausgabe(n) |
Printed edition:: ISBN: 978-3-031-88716-1 Printed edition:: ISBN: 978-3-031-88718-5 |
| Inhalt | -- 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 |
| Persistent Identifier |
URN: urn:nbn:de:101:1-2505090416431.782868490699 DOI: 10.1007/978-3-031-88717-8 |
| URL | https://doi.org/10.1007/978-3-031-88717-8 |
| ISBN/Einband/Preis | 978-3-031-88717-8 |
| Sprache(n) | Englisch (eng) |
| Beziehungen | Lecture Notes in Computer Science ; 15575 |
| Sachgruppe(n) | 370 Erziehung, Schul- und Bildungswesen |
| Online-Zugriff | Archivobjekt öffnen |
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