Imagen de Portada

Predicting IR Personalization Performance using Pre-retrieval Query Predictors

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Vicente-López, Eduardo, de Campos, Luis M., Fernández-Luna, Juan M., Huete, Juan F.
Formato:	Preprint
Publicado:	2024
Materias:	Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Publication venue recommendation using profiles based on clustering
por: de Campos, Luis M., et al.
Publicado: (2024)

On the selection of the correct number of terms for profile construction: theoretical and empirical analysis
por: de Campos, Luis M., et al.
Publicado: (2024)

Use of topical and temporal profiles and their hybridisation for content-based recommendation
por: de Campos, Luis M., et al.
Publicado: (2024)

Automatic Construction of Multi-faceted User Profiles using Text Clustering and its Application to Expert Recommendation and Filtering Problems
por: de Campos, Luis M., et al.
Publicado: (2024)

LDA-based Term Profiles for Expert Finding in a Political Setting
por: de Campos, Luis M., et al.
Publicado: (2024)

Positive unlabeled learning for building recommender systems in a parliamentary setting
por: de Camposa, Luis M., et al.
Publicado: (2024)

Combining Query Performance Predictors: A Reproducibility Study
por: Saha, Sourav, et al.
Publicado: (2025)

POQD: Performance-Oriented Query Decomposer for Multi-vector retrieval
por: Liu, Yaoyang, et al.
Publicado: (2025)

An Integrated System for Managing the Andalusian Parliament's Digital Library
por: de Campos, Luis M., et al.
Publicado: (2009)

PARK: Personalized academic retrieval with knowledge-graphs
por: Kasela, Pranav, et al.
Publicado: (2025)

RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation
por: Tian, Fangzheng, et al.
Publicado: (2026)

Breaking Flat: A Generalised Query Performance Prediction Evaluation Framework
por: Santra, Payel, et al.
Publicado: (2026)

Beyond Correlations: A Downstream Evaluation Framework for Query Performance Prediction
por: Santra, Payel, et al.
Publicado: (2026)

Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval
por: Zhang, Yingyi, et al.
Publicado: (2025)

Enhancing patent retrieval using automated patent summarization
por: Kamateri, Eleni, et al.
Publicado: (2025)

The Coverage Illusion: From Pre-retrieval Routing Failure to Post-retrieval Cascades in a Production RAG System
por: Hussain, Zafar, et al.
Publicado: (2026)

ASPIRE: Assistive System for Performance Evaluation in IR
por: Peikos, Georgios, et al.
Publicado: (2024)

PEPT: Expert Finding Meets Personalized Pre-training
por: Peng, Qiyao, et al.
Publicado: (2023)

HLTCOE at LiveRAG: GPT-Researcher using ColBERT retrieval
por: Duh, Kevin, et al.
Publicado: (2025)

Query Exposure Prediction for Groups of Documents in Rankings
por: Jaenich, Thomas, et al.
Publicado: (2024)

Query Expansion in the Age of Pre-trained and Large Language Models: A Comprehensive Survey
por: Li, Minghan, et al.
Publicado: (2025)

Query-Conditioned Graph Retrieval for Contextualized LLM Reasoning in Personalized Wearable Data
por: Lu, Zhenyu, et al.
Publicado: (2026)

Multimodal semantic retrieval for product search
por: Liu, Dong, et al.
Publicado: (2025)

LongEval at CLEF 2025: Longitudinal Evaluation of IR Model Performance
por: Cancellieri, Matteo, et al.
Publicado: (2025)

Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG
por: Tian, Fangzheng, et al.
Publicado: (2025)

K-PERM: Personalized Response Generation Using Dynamic Knowledge Retrieval and Persona-Adaptive Queries
por: Raj, Kanak, et al.
Publicado: (2023)

Fix Before Search: Benchmarking Agentic Query Visual Pre-processing in Multimodal Retrieval-augmented Generation
por: Zhang, Jiankun, et al.
Publicado: (2026)

Enhanced document retrieval with topic embeddings
por: Huseynova, Kavsar, et al.
Publicado: (2024)

Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval
por: Tang, Yubao, et al.
Publicado: (2024)

MiLQ: Benchmarking IR Models for Bilingual Web Search with Mixed Language Queries
por: Kim, Jonghwi, et al.
Publicado: (2025)

Unsupervised dense retrieval with conterfactual contrastive learning
por: Chen, Haitian, et al.
Publicado: (2024)

Understanding news story chains using information retrieval and network clustering techniques
por: Nicholls, Tom, et al.
Publicado: (2018)

Personalized Video Summarization using Text-Based Queries and Conditional Modeling
por: Huang, Jia-Hong
Publicado: (2024)

Search Intenion Network for Personalized Query Auto-Completion in E-Commerce
por: Bao, Wei, et al.
Publicado: (2024)

Embedding based retrieval for long tail search queries in ecommerce
por: Kekuda, Akshay, et al.
Publicado: (2025)

Hierarchical corpus encoder: Fusing generative retrieval and dense indices
por: Chen, Tongfei, et al.
Publicado: (2025)

ExcluIR: Exclusionary Neural Information Retrieval
por: Zhang, Wenhao, et al.
Publicado: (2024)

QueryExplorer: An Interactive Query Generation Assistant for Search and Exploration
por: Dhole, Kaustubh D., et al.
Publicado: (2024)

LLM2IR: simple unsupervised contrastive learning makes long-context LLM great retriever
por: Yang, Xiaocong
Publicado: (2025)

Rethinking LLM-Based Recommendations: A Personalized Query-Driven Parallel Integration
por: Han, Donghee, et al.
Publicado: (2025)