Personalized LBSN Recommendation System
Jingling Zhao, Tianyi Wang, Xiaojun Xu, Yang Yu · 2017
To explore deep value of user comments in LBSN, this article through to Foursquare check-in with geography information analysis and review data using AFINN dictionary user comments emotions tend to get user implicit rating for this product. Using the score as the foundation, proposed and implemented an integrated collaborative filtering recommendation algorithm based on user modeling based on geographic location, recommended results for users such as user friend recommended recommend he might be interested in. Finally, the system performed well in MAE measurement and solve the data sparse problem.