Research and Application on Personalized Recommendation of Potential Friends and Books Base on Collaborative Filtering
He Chengdong, Шу Чанг · Journal of Physics Conference Series · 2018
The personalized recommendation of potential friends and book resources is important for improving the personalized service of digital campus. In this context, this paper proposes a recommendation method of potential friends and book classes based on collaborative filtering. The establishment of users profiles and the implicit rating prediction model by mining user demographic attributes and book borrowing features. It can improve social environment and utilization of library resources base on this method. The result shows that the model can effectively improve the quality of personalized service recommendation of potential friends and book resources.