A journal of IEEE and CAA , publishes high-quality papers in English on original theoretical/experimental research and development in all areas of automation
Volume 4 Issue 3
Jul.  2017

IEEE/CAA Journal of Automatica Sinica

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Article Contents
Wenjing Luan, Guanjun Liu, Changjun Jiang and Liang Qi, "Partition-based Collaborative Tensor Factorization for POI Recommendation," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 437-446, July 2017. doi: 10.1109/JAS.2017.7510538
Citation: Wenjing Luan, Guanjun Liu, Changjun Jiang and Liang Qi, "Partition-based Collaborative Tensor Factorization for POI Recommendation," IEEE/CAA J. Autom. Sinica, vol. 4, no. 3, pp. 437-446, July 2017. doi: 10.1109/JAS.2017.7510538

Partition-based Collaborative Tensor Factorization for POI Recommendation

doi: 10.1109/JAS.2017.7510538
Funds:

in part by the National Nature Science Foundation of China 91218301

in part by the National Nature Science Foundation of China 61572360

the Basic Research Projects of People's Public Security University of China 2016JKF01316

in part by Shanghai Shuguang Program 15SG18

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