Library Intelligent Book Recommendation System Using Facial Expression Recognition

To solve the problem of information overload, the recommendation system has developed in various fields. Faced with a variety of forms and rich masses of books, the book recommendation system based on various recommendation methods is applied in the library. In the traditional book recommendation system, there are some problems, such as single recommendation mode, lack of pertinence, too centralized recommended books and so on. In order to solve these problems, this paper proposes a personalized book recommendation system. Through user expression recognition to obtain user preferences, according to user preferences to recommend books to user. Facial expression recognition is realized by using convolution neural network model. This kind of recommendation method has real-time and authenticity. The book recommendation system based on facial expression recognition can improve users' sense of use when applied to library robots.