A New Method of Group Information Recommendation Based on the User Dynamic Profile Information Optimization

Group information recommendation not only satisfies the preferences of the individuals, but also maximizes the satisfaction of the whole group. This paper firstly analyzes the related research of group information recommendation, and points out the problems of the current group information recommendation. Secondly, aiming at the problems of low accuracy of similar user calculation and incomplete consideration of expert users, this paper proposes a new group information recommendation method based on the user dynamic profile information optimization. Finally, the paper carries out the experiment to test and verify the high efficiency of the new algorithm using the data of Zhihu.