基于用户社交网络分析的高校图书馆主题多样性阅读推荐

Reading Recommendation with Subject Diversity of University Libraries Based on Analysis of User Social Network

[目的／意义]推荐结果覆盖用户的不同兴趣领域，良好的主题多样性对于提高图书馆个性化阅读推荐服务的用户满意度具有重要意义。[方法／过程]提出一种基于社交网络分析的阅读推荐方法，通过用户的兴趣相似好友，挖掘用户的多样隐性兴趣，为用户提供主题多样性的阅读推荐，并给出具有良好学科主题多样性的高校图书馆图书推荐案例。[结果／结论]用户社交网络分析可为高校图书馆发现用户的多样兴趣，进而提供主题多样性的阅读推荐服务，构建用户多元知识结构提供新途径。

[ Purpose/significance ] That the recommendation results cover the diverse interests of users and have good subject diversity is of great significance for improving the user satisfaction of library personalized reading recommendation services. [ Method/process ] This paper proposes a reading recommendation method based on social network analysis, which supplies users with reading recommendation with subject diversity through mining the user＇s diverse implicit interests by his friends who have similar interests with him. A book recommendation case of university library which has good subject diversity is given. [ Result/conclusion] The analysis of user social network supplies university libraries with the new way of discovering diverse interests of users so as to provide reading recommendation services with subject diversity and construct the multiple knowledge structure of users.