Research on Book Recommendation System and Cloud Visualization Construction Based on Collaborative Filtering and Feature Engineering
This paper proposes a weighted book recommendation algorithm for online public access catalogues(OPAC)system,by combining collaborative filtering with feature engineering.The algorithm applies collaborative filtering to cluster users with similar interests by analyzing the borrowing history.The book recommendation index is calculated by weighted algorithm after the feature code is introduced,such as the number of books borrowed,shelf time,shelving adjacency and professional rele-vance.In addition,the solutions to the problems of cold start and sparsity are proposed.The test results show that the pro-posed algorithm realizes the complete book recommendation system and the cloud visualization construction of recommended books.
online public access cataloguecollaborative filteringfeature engineeringbook recommendationcloud visualiza-tion
万方数据
维普
