基于图书标签画像的个性化推荐模型研究

Research on Personalized Recommendation Model Based on Book Label Portrait

随着图书出版行业的快速发展,读者用户在选择和阅读图书时面临严重的信息过载问题。读者在海量图书中选择出自己想要图书,往往需要大量时间。文章根据读者访问与阅读的行为信息,结合读者的基本信息,分析读者的兴趣点,搭建个性化推荐模型,为读者从海量图书中推荐符合其兴趣点的图书。

In the rapid development of book publication,readers will face serious information overload problem when choosing and reading books.It often takes a lot of time for readers to match and search for the books they want from a large number of books.This article analyzes the reader s points of interest according to the reader s access and reading behavior information and basic information of readers,and sets up a personalized recommendation model to recommend books that meet the user s interest points.