Advances in Information Retrieval, Kartoniert / Broschiert
Advances in Information Retrieval
- 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6-10, 2025, Proceedings, Part IV
(soweit verfügbar beim Lieferanten)
- Herausgeber:
- Claudia Hauff, Craig Macdonald, Dietmar Jannach, Gabriella Kazai, Franco Maria Nardini, Fabio Pinelli, Fabrizio Silvestri, Nicola Tonellotto
- Verlag:
- Springer, 04/2025
- Einband:
- Kartoniert / Broschiert
- Sprache:
- Englisch
- ISBN-13:
- 9783031887161
- Artikelnummer:
- 12256921
- Umfang:
- 472 Seiten
- Gewicht:
- 709 g
- Maße:
- 235 x 155 mm
- Stärke:
- 26 mm
- Erscheinungstermin:
- 3.4.2025
- Hinweis
-
Achtung: Artikel ist nicht in deutscher Sprache!
Weitere Ausgaben von Advances in Information Retrieval |
Preis |
---|---|
Buch, Kartoniert / Broschiert, Englisch | EUR 164,28* |
Buch, Kartoniert / Broschiert, Englisch | EUR 164,28* |
Buch, Kartoniert / Broschiert, Englisch | EUR 164,28* |
Buch, Kartoniert / Broschiert, Englisch | EUR 164,28* |
Klappentext
.- 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.
