Design and Practical Research of a Full Link and One-Stop Book Recommendation Service Platform for University Libraries in the Digital Intelligence Era
Reader recommendation is an important part of the literature resource acquisition process in university libraries in China.However,many of the book recommendation systems used in university libraries currently have problems such as simple recommendation functions,lack of one-stop recommendation and processing,delayed information feedback,and missing data management.Taking the Qiushi Book Recom-mendation Platform of Zhejiang University Library as an example,this article proposes a full link,one-stop,and intelligent recommendation service model that integrates multiple recommendation channels and supports the recommendation and use of multiple types of resources in order to provide reference for book recommendation work in other university libraries.
Reader RecommendationBook Recommendation SystemsUniversity LibraryPlatform Construction
NETL
NSTL
万方数据
维普
