An effective points of interest recommendation approach based on embedded meta‐path of spatiotemporal data

Author:

Song Rui1,Li Tong1ORCID,Dong Xin1,Ding Zhiming1

Affiliation:

1. Faculty of Information Technology Beijing University of Technology Beijing China

Funder

Beijing Municipal Commission of Education

National Natural Science Foundation of China

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Reference41 articles.

1. A joint two‐phase time‐sensitive regularized collaborative ranking model for point of interest recommendation;Aliannejadi M.;IEEE Transactions on Knowledge and Data Engineering,2019

2. Chen H. Perozzi B. Alrfou R. &Skiena S.(2018).A tutorial on network embeddings. arXiv: Social and Information Networks.

3. Chen X. Zeng Y. Gao C. Qin S. Xiang Y. &Dai Y.(2015).On information coverage for location category based point‐of‐interest recommendation. Twenty‐ninth AAAI Conference on Artificial Intelligence 29.

4. Cheng C. Yang H. King I. &Lyu M. R.(2012).Fused matrix factorization with geographical and social influence in location‐based social networks. AAAI Conference on Artificial Intelligence.

5. Cheng C. Yang H. Lyu M. R. &King I.(2013).Where you like to go next: Successive point‐of‐interest recommendation. International Joint Conference on Artificial Intelligence.

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