@inproceedings{c20bcab94cd7487ba02bf1823619f073,
title = "SPENT+: A Category- And Region-aware Successive POI Recommendation Model",
abstract = "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.",
keywords = "Successive POI recommendation, embedding, recommendation",
author = "Lai, {Hsu Chao} and Lu, {Yi Shu} and Wang, {Mu Fan} and Chen, {Yi Cheng} and Shih, {Wen Yueh} and Huang, {Jiun Long}",
note = "Publisher Copyright: {\textcopyright} 2021 IEICE.; 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021 ; Conference date: 08-09-2021 Through 10-09-2021",
year = "2021",
month = sep,
day = "8",
doi = "10.23919/APNOMS52696.2021.9562645",
language = "English",
series = "2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "230--233",
booktitle = "2021 22nd Asia-Pacific Network Operations and Management Symposium, APNOMS 2021",
address = "美國",
}