Cheng Chen

Location based recommendation mainly focuses on recommending Point-of-interests (POIs) to users. Compared to traditional recommendation methods, we incorporate geographical influence into the model which yields better performance than state-of-the-art methods, which shows the importance of spatial information in POI recommendation.

“Fused Matrix Factorization with Geographical and Social In?uence in Location-based Social Networks”, Chen Cheng, Haiqin Yang, Irwin King and M. R. Lyu, In Proceedings of the 26th AAAI Conference on Artificial Intelligence (AAAI-12), Toronto, Ontario, Canada, July 22 - 26, 2012. Paper Presentation Poster