Research on Library User Profiles for Precision Services

Abstract

[Purpose/Significance]In order to meet the needs of the innovation and development in libraries in the era of big data, and promote the realization of library precision services based on user profiles.[Method/Process]Based on the interactive data of readers in Foshan Library, combined with the TF-IDF algorithm and the LDA modeling method to extract interactive text features, this study constructed and analyzed the multi-dimensional and multi perspective reader profile data.[Results/Conclusions]By revealing the characteristics of readers' attributes, this study offers a comprehensive and three-dimensional framework for describing users, providing insights intothe ways of accurate recommendation and related servicesin public libraries.

Keywords

• big data|library|precise service|user profile