User-based Library Book Visual Recommendation
For university libraries, the books and other materials get more and more.Each year, the universities may update the library and purchase a lot of new books.It is a bonus for teachers and students.However, this brings a problem.The more books the universities collect, the more difficult the students select their interesting information.In other words, the ability to deal with information does not corresponds to the scale of books.To solve this problem, the authors of this paper proposed an user-based library book visual recommendation approach.This method records each peoples borrow history.According to item to item algorithm and the current users personal information, we calculate the relationship between the books.With visualization and interaction techniques, the recommendations finally get visualized.An experiment designed at the end of this paper shows that our solution is feasible and effective.
Recommendation Item-to-item History Analysis Interaction
Yan Li Hongjie Chen
Yantai Nanshan University, Yantai, Shandong, China
国际会议
三亚
英文
524-528
2015-12-26（万方平台首次上网日期，不代表论文的发表时间）