NEXT: a neural network framework for next POI recommendation

Author:

Zhang Zhiqian,Li Chenliang,Wu Zhiyong,Sun Aixin,Ye Dengpan,Luo Xiangyang

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science,Theoretical Computer Science

Reference50 articles.

1. He X, Liao L, Zhang H, Nie L, Hu X, Chua T S. Neural collaborative filtering. In: Proceedings of International Conference on World Wide Web. 2017, 173–182

2. Cheng C, Yang H, Lyu M R, King I. Where you like to go next: successive point-of-interest recommendation. In: Proceedings of International Joint Conference on Artificial Intelligence. 2013, 2605–2611

3. Feng S, Li X, Zeng Y, Cong G, Chee Y M, Yuan Q. Personalized ranking metric embedding for next new POI recommendation. In: Proceedings of International Joint Conference on Artificial Intelligence. 2015, 2069–2075

4. Ye M, Yin P, Lee W C, Lee D L. Exploiting geographical influence for collaborative point-of-interest recommendation. In: Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval. 2011, 325–334

5. Li X, Cong G, Li X L, Pham T A N, Krishnaswamy S. Rank-GeoFM: a ranking based geographical factorization method for point of interest recommendation. In: Proceedings of International ACM SIGIR Conference on Research and Development in Information Retrieval. 2015, 433–442

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