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Partition-based Collaborative Tensor Factorization for POI Recommendation

Wenjing Luan Guanjun Liu Changjun Jiang Liang Qi

自动化学报（英文版）2017，Vol.4Issue(3)：437-446,10.

自动化学报（英文版）2017，Vol.4Issue(3)：437-446,10.DOI:10.1109/JAS.2017.7510538

Partition-based Collaborative Tensor Factorization for POI Recommendation

Wenjing Luan ¹Guanjun Liu ¹Changjun Jiang ²Liang Qi¹

作者信息

1. Department of Computer Science and Technology, Tongji University, Shanghai 200092, China
2. Key Laboratory of Embedded System and Service Computing, Tongji University, Shanghai 200092, China
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摘要

关键词

Clustering/context/feature extraction/point of interest (POI) recommendation/tensor factorization

Key words

Clustering/context/feature extraction/point of interest (POI) recommendation/tensor factorization

引用本文复制引用

Wenjing Luan,Guanjun Liu,Changjun Jiang,Liang Qi..Partition-based Collaborative Tensor Factorization for POI Recommendation[J].自动化学报（英文版）,2017,4(3):437-446,10.

基金项目

This work was supported in part by the National Nature Science Foundation of China (91218301,61572360),the Basic Research Projects of People's Public Security University of China (2016JKF01316).and in part by Shanghai Shuguang Program (15SG18). （91218301,61572360）

自动化学报（英文版）

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ISSN：2329-9266

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