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Exploiting Bi-directional Global Transition Patterns and Personal Preferences for Missing POI Category Identification. (arXiv:2201.00014v1 [cs.LG])
Jan. 4, 2022, 2:10 a.m. | Dongbo Xi, Fuzhen Zhuang, Yanchi Liu, Hengshu Zhu, Pengpeng Zhao, Chang Tan, Qing He
cs.LG updates on arXiv.org arxiv.org
Recent years have witnessed the increasing popularity of Location-based
Social Network (LBSN) services, which provides unparalleled opportunities to
build personalized Point-of-Interest (POI) recommender systems. Existing POI
recommendation and location prediction tasks utilize past information for
future recommendation or prediction from a single direction perspective, while
the missing POI category identification task needs to utilize the check-in
information both before and after the missing category. Therefore, a
long-standing challenge is how to effectively identify the missing POI
categories at any time …
More from arxiv.org / cs.LG updates on arXiv.org
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