Query-performance prediction for effective query routing in domain-specific repositories

Author:

Sarnikar Surendra1,Zhang Zhu2,Zhao J. Leon3

Affiliation:

1. College of Business and Information Systems; Dakota State University; 820 North Washington Avenue, EH7 Madison SD 57042

2. Department of Management Information Systems; University of Arizona; McClelland Hall, Room 430BB, 1130 East Helen Street Tucson AZ 85721

3. Department of Information Systems; City University of Hong Kong; 83 Tat Chee Avenue, Kowloon Hong Kong China

Publisher

Wiley

Subject

Library and Information Sciences,Information Systems and Management,Computer Networks and Communications,Information Systems

Reference74 articles.

1. Analysis of performance variation using query expansion;Alemayehu;Journal of the American Society for Information Science and Technology,2003

2. Query Difficulty, Robustness, and Selective Application of Query Expansion

3. Enhancing information retrieval through statistical natural language processing: A study of collocation indexing;Arazy;MIS Quarterly,2007

4. The FedLemur project: Federated search in the real world;Avrahami;Journal of the American Society for Information Science and Technology,2006

5. On the relationship between query characteristics and IR functions retrieval bias;Bashir;Journal of the American Society for Information Science and Technology,2011

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Estimating Query Performance Through Rich Contextualized Query Representations;Lecture Notes in Computer Science;2024

2. Learning to rank and predict: Multi-task learning for ad hoc retrieval and query performance prediction;Information Sciences;2023-08

3. Query Performance Prediction: From Ad-hoc to Conversational Search;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18

4. BERT-QPP: Contextualized Pre-trained transformers for Query Performance Prediction;Proceedings of the 30th ACM International Conference on Information & Knowledge Management;2021-10-26

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