SPENT+: A Category- And Region-aware Successive POI Recommendation Model

Hsu Chao Lai, Yi Shu Lu, Mu Fan Wang, Yi Cheng Chen, Wen Yueh Shih, Jiun Long Huang

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

To facilitate successive Point-of-Interests (POI) recommendation, the categories of POIs and the regions where POIs are located are seldom considered in existing models. In view of this, we extend a state-of-the-art model SPENT, named SPENT+, by taking the category and the region into considerations. In SPENT+, we formulate category- and region-aware check-in sequences, design the similarity trees to aggregate similar features, and finally establish the category latent vectors and region latent vectors, respectively. The above two latent vectors are aggregated as the category-region-aware latent vectors. Therefore, the category-region-latent vectors are sent to an LSTM together with conventional check-in sequences to improve successive POI recommendation. We conduct two real datasets, Gowalla and Foursquare, and compare with state-of-the-art methods in experiments. Results show that SPENT+ outperforms the baselines in terms of precision and recall.

原文English
主出版物標題2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021
發行者Institute of Electrical and Electronics Engineers Inc.
頁面230-233
頁數4
ISBN(電子)9784885523328
DOIs
出版狀態Published - 8 9月 2021
事件22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021 - Virtual, Online, Taiwan
持續時間: 8 9月 202110 9月 2021

出版系列

名字2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021

Conference

Conference22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021
國家/地區Taiwan
城市Virtual, Online
期間8/09/2110/09/21

指紋

深入研究「SPENT+: A Category- And Region-aware Successive POI Recommendation Model」主題。共同形成了獨特的指紋。

引用此