Friend Recommendation System Based on Geolocation and Contents of Users
Mingyue Duan, Jing Huang, Jiaxuan Zhang, Yunjie Tian, Dongwei Li, Bin Wang · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2018
In recent years, with the rapid development of wireless mobile network and smart phone operating systems, various social software based on wireless Internet has emerged one after another.Current popular social software such as QQ and WeChat have become important tools for people to meet new friends.At present, existing social software can recommend other users in the vicinity according to the geographical location of the user.However, this method does not consider the user's interests, hobbies, etc.So that the effectiveness of such a friend recommmendation system is often unsatisfactory.In order to solve the above problems, a personalized friend recommendation system based on geolocation information and user content is designed and developed.In this system , not only the geolocation information of the user is considered, but also the features of the user's published statuses are extracted, aiming to recommend more similar other users to the user.After testing, the effectiveness of the proposed method is verified.