:: Library Catalog

Imagen de Portada

Guardado en:

Detalles Bibliográficos
Autores principales:	Frihat, Sameh, Fuhr, Norbert
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	https://arxiv.org/abs/2407.18383
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Context-Driven Interactive Query Simulations Based on Generative Large Language Models
por: Engelmann, Björn, et al.
Publicado: (2023)

LISP -- A Rich Interaction Dataset and Loggable Interactive Search Platform
por: Friese, Jana Isabelle, et al.
Publicado: (2026)

From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification
por: Zhang, Hengran, et al.
Publicado: (2023)

Prism-Reranker: Beyond Relevance Scoring -- Jointly Producing Contributions and Evidence for Agentic Retrieval
por: Zhang, Dun
Publicado: (2026)

Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking
por: Huang, Jerry, et al.
Publicado: (2025)

Beyond Relevance: An Adaptive Exploration-Based Framework for Personalized Recommendations
por: Bianchi, Edoardo
Publicado: (2025)

Enhancing LLM Generation with Knowledge Hypergraph for Evidence-Based Medicine
por: Dou, Chengfeng, et al.
Publicado: (2025)

Health Professionals' Attitudes towards Evidence-Based Medicine and the Role of the Information Professional in Exploitation of the Research Evidence.
por: Lewis, Ruth A., et al.
Publicado: (1998)

LLMJudge: LLMs for Relevance Judgments
por: Rahmani, Hossein A., et al.
Publicado: (2024)

Generalized Pseudo-Relevance Feedback
por: Tu, Yiteng, et al.
Publicado: (2025)

The Cranfield II Relevance Assessments: A Critical Evaluation
por: Harter, Stephen P.
Publicado: (1971)

A PSO Strategy of Finding Relevant Web Documents using a New Similarity Measure
por: C, Ramya, et al.
Publicado: (2021)

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention
por: Liu, Ziru, et al.
Publicado: (2024)

Rotate Both Ways: Time-and-Order RoPE for Generative Recommendation
por: Wei, Xiaokai, et al.
Publicado: (2025)

LLM-Assisted Pseudo-Relevance Feedback
por: Otero, David, et al.
Publicado: (2026)

LUCid: Redefining Relevance For Lifelong Personalization
por: Okite, Chimaobi, et al.
Publicado: (2026)

Recent Relevance Research: Implications for Information Professionals.
por: Greisdorf, Howard, et al.
Publicado: (2000)

Augmenting Sequential Recommendation with Balanced Relevance and Diversity
por: Dang, Yizhou, et al.
Publicado: (2024)

Generative Retrieval Meets Multi-Graded Relevance
por: Tang, Yubao, et al.
Publicado: (2024)

Don't Use LLMs to Make Relevance Judgments
por: Soboroff, Ian
Publicado: (2024)

Is Relevance Propagated from Retriever to Generator in RAG?
por: Tian, Fangzheng, et al.
Publicado: (2025)

Migrating a Job Search Relevance Function
por: Mountain, Bennett, et al.
Publicado: (2025)

CodeRAG: Finding Relevant and Necessary Knowledge for Retrieval-Augmented Repository-Level Code Completion
por: Zhang, Sheng, et al.
Publicado: (2025)

A Best-of-Both Approach to Improve Match Predictions and Reciprocal Recommendations for Job Search
por: Goda, Shuhei, et al.
Publicado: (2024)

Evidence-Based Temporal Fact Verification
por: Barik, Anab Maulana, et al.
Publicado: (2024)

SARA: A Collection of Sensitivity-Aware Relevance Assessments
por: McKechnie, Jack, et al.
Publicado: (2024)

A Deep Learning Approach for Selective Relevance Feedback
por: Datta, Suchana, et al.
Publicado: (2024)

The Relevance of Item-Co-Exposure For Exposure Bias Mitigation
por: Krause, Thorsten, et al.
Publicado: (2024)

JudgeBlender: Ensembling Judgments for Automatic Relevance Assessment
por: Rahmani, Hossein A., et al.
Publicado: (2024)

Graded Relevance Scoring of Written Essays with Dense Retrieval
por: Albatarni, Salam, et al.
Publicado: (2024)

Exploring Large Language Models for Relevance Judgments in Tetun
por: de Jesus, Gabriel, et al.
Publicado: (2024)

Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance Models
por: Parry, Andrew, et al.
Publicado: (2024)

Hybrid Pooling with LLMs via Relevance Context Learning
por: Otero, David, et al.
Publicado: (2026)

Counterfactual Query Rewriting to Use Historical Relevance Feedback
por: Keller, Jüri, et al.
Publicado: (2025)

Variations in Relevance Judgments and the Shelf Life of Test Collections
por: Parry, Andrew, et al.
Publicado: (2025)

Long or Short or Both? An Exploration on Lookback Time Windows of Behavioral Features in Product Search Ranking
por: Liu, Qi, et al.
Publicado: (2024)

Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
por: Chen, Ben, et al.
Publicado: (2024)

Beyond Content Relevance: Evaluating Instruction Following in Retrieval Models
por: Zhou, Jianqun, et al.
Publicado: (2024)

Towards an In-Depth Comprehension of Case Relevance for Better Legal Retrieval
por: Li, Haitao, et al.
Publicado: (2024)

LLMs Can Patch Up Missing Relevance Judgments in Evaluation
por: Upadhyay, Shivani, et al.
Publicado: (2024)