Predicting users' domain knowledge in information retrieval using multiple regression analysis of search behaviors

Author:

Zhang Xiangmin1,Liu Jingjing2,Cole Michael3,Belkin Nicholas3

Affiliation:

1. School of Library and Information Science; Wayne State University; Detroit MI 48202

2. School of Library and Information Science; University of South Carolina; 1501 Greene Street Columbia SC 29208

3. School of Communication and Information; Rutgers University; 4 Huntington Street New Brunswick NJ 08901

Funder

The institute of museums and library services

Publisher

Wiley

Subject

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

Cited by 27 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. Unveiling Health Literacy through Web Search Behavior: A Classification-Based Analysis of User Interactions;Proceedings of the 2024 ACM SIGIR Conference on Human Information Interaction and Retrieval;2024-03-10

2. Uncovering the predictive effect of behaviours on self‐directed learning ability;British Journal of Educational Technology;2024-01-08

3. An Analysis of the Patent Search Behavior of Human Experts and its Impact on Patent Retrieval Performance;SSRN Electronic Journal;2024

4. Characterizing and Early Predicting User Performance for Adaptive Search Path Recommendation;Proceedings of the Association for Information Science and Technology;2023-10

5. Information Search Patterns in Complex Tasks;SRELS Journal of Information Management;2023-03-27

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