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Liu, J., Kong, X., Zhou, X., Wang, L., Zhang, D., Lee, I., et al. (2019) Data Mining and Information Retrieval in the 21st Century: A Bibliographic Review. Computer Science Review, 34, Article ID: 100193.
https://doi.org/10.1016/j.cosrev.2019.100193

has been cited by the following article:

• TITLE: Database Search Behaviors: Insight from a Survey of Information Retrieval Practices

  AUTHORS: Babita Trivedi, Brijender Dahiya, Anjali Maan, Rajesh Giri, Vinod Prasad

  KEYWORDS: Information Retrieval, Database Search, User Behavior Patterns

  JOURNAL NAME: Intelligent Information Management, Vol.16 No.5, August 29, 2024

  ABSTRACT: This study examines the database search behaviors of individuals, focusing on gender differences and the impact of planning habits on information retrieval. Data were collected from a survey of 198 respondents, categorized by their discipline, schooling background, internet usage, and information retrieval preferences. Key findings indicate that females are more likely to plan their searches in advance and prefer structured methods of information retrieval, such as using library portals and leading university websites. Males, however, tend to use web search engines and self-archiving methods more frequently. This analysis provides valuable insights for educational institutions and libraries to optimize their resources and services based on user behavior patterns.