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Point-of-Interest (POI) recommendation has been extensively studied and successfully applied in industry recently.
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Learning new words
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Hong-Jian Xue, Xinyu Dai, Jianbing Zhang, Shujian Huang, and Jiajun Chen. 2017 · 2017
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Bridging collaborative filtering and semi-supervised learning: a neural approach for poi recommendation. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . ACM, 1245–1254
Carl Yang, Lanxiao Bai, Chao Zhang, Quan Yuan, and Jiawei Han. 2017 · 2017
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Semi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model
Chaochao Chen, Kevin Chen-Chuan Chang, Qibing Li, and Xiaolin Zheng. 2018a · 2018
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Privacy at Scale: Local Differential Privacy in Practice. In Proceedings of the 2018 International Conference on Management of Data . ACM, 1655–1658
Graham Cormode, Somesh Jha, Tejas Kulkarni, Ninghui Li, Divesh Srivastava, and Tianhao Wang. 2018 · 2018
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Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, and Yujun Zhang. 2018 · 2018
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Hyejin Shin, Sungwook Kim, Junbum Shin, and Xiaokui Xiao. 2018 · 2018
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Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba. In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . ACM, 839–848
Jizhe Wang, Pipei Huang, Huan Zhao, Zhibo Zhang, Binqiang Zhao, and Dik Lun Lee. 2018 · 2018
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Feng Zhu, Yan Wang, Chaochao Chen, Guanfeng Liu, Mehmet Orgun, and Jia Wu. 2018 · 2018
Later among the works it cites.
Secure Social Recommendation based on Secret Sharing
Chaochao Chen, Liang Li, Bingzhe Wu, Cheng Hong, Li Wang, and Jun Zhou. 2020 · 2020
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