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 people's borrow history. According to item to item algorithm and the current user's 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.