Research on the precise recommendation service system of digital library

Abstract

With the continuous development of big data technology, the service mode of library has changed greatly. This paper proposes a method for building a digital library precise recommendation service system based on user portraits, which improves the recommendation accuracy and efficiency of the digital library. Firstly, systematically sort out the research status of the application of user portrait technology in the field of library and information. Then, the needs of precise recommendation of the digital library under the user portrait technology in terms of recommended content, service positioning, user functions were analyzed. Finally, introduce the construction method of the recommendation service system of the digital library from the three aspects of data module, recommendation module and user module. This research aims to explore an effective transformation and development path for the precise recommendation of digital library.