基于用户个人及群体画像相结合的图书个性化推荐应用研究

Application Research on Personalized Recommendation of Books Based on User Portrait and Group Portrait

[目的/意义]为解决图书馆长久以来"藏与用"之间的矛盾,为读者提供个性化图书推荐等精准服务。[方法/过程]利用用户画像方法和技术,构建读者的个人画像与群体画像,并综合两者所反映出的读者借阅行为特征,实现图书的个性化推荐。[结果/结论]通过问卷调查证实测试用数据反馈结果较为良好,同时也反映出用户画像在图书推荐领域具有一定的可行性。[局限]数据全面性不够,构建用户画像的技术不够新颖,结果的测评方法较为主观等。

[Purpose/significance] This paper aims to solve the contradiction between'collecting and using'in the field of library,as well as provides readers with precise services such as personalized book recommendation. [Method/process] Using the method and technology of user portrait,the reader’s personal portrait and the group portrait are constructed,and the reader’s borrowing behavior features are integrated to realize the personalized recommendation of the books. [Result/conclusion]The results of questionnaires show that the data feedback results of the test are relatively good,and also reflect the feasibility of user portrait in the field of book recommendation field. [Limitations]The data are not comprehensive enough,the technology of building user portrait is not very new,and the evaluation method is relatively subjective.