{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,27]],"date-time":"2026-04-27T11:55:13Z","timestamp":1777290913936,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482189","type":"proceedings-article","created":{"date-parts":[[2021,11,15]],"date-time":"2021-11-15T15:31:19Z","timestamp":1636990279000},"page":"2960-2964","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":40,"title":["ST-PIL"],"prefix":"10.1145","author":[{"given":"Qiang","family":"Cui","sequence":"first","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenrui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yafeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jinpeng","family":"Wang","sequence":"additional","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingchen","family":"Cai","sequence":"additional","affiliation":[{"name":"Meituan, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In ICLR.  Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate. In ICLR."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_2_3_1","volume-title":"Distance2Pre: Personalized spatial preference for next point-of-interest prediction","author":"Cui Qiang","unstructured":"Qiang Cui , Yuyuan Tang , Shu Wu , and Liang Wang . 2019. Distance2Pre: Personalized spatial preference for next point-of-interest prediction . In PAKDD. Springer , 289--301. Qiang Cui, Yuyuan Tang, Shu Wu, and Liang Wang. 2019. Distance2Pre: Personalized spatial preference for next point-of-interest prediction. In PAKDD. Springer, 289--301."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186058"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_2_6_1","volume-title":"Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, et al.","author":"Islam Md","year":"2020","unstructured":"Md Islam , Mir Mahathir Mohammad , Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, et al. 2020 . A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations . arXiv preprint arXiv:2011.10187 (2020). Md Islam, Mir Mahathir Mohammad, Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, et al. 2020. A Survey on Deep Learning Based Point-Of-Interest (POI) Recommendations. arXiv preprint arXiv:2011.10187 (2020)."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133036"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5353"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358171"},{"key":"e_1_3_2_2_10_1","volume-title":"Personalized long-and short-term preference learning for next POI recommendation. TKDE","author":"Wu Yuxia","year":"2020","unstructured":"Yuxia Wu , Ke Li , Guoshuai Zhao , and QIAN Xueming . 2020. Personalized long-and short-term preference learning for next POI recommendation. TKDE ( 2020 ). Yuxia Wu, Ke Li, Guoshuai Zhao, and QIAN Xueming. 2020. Personalized long-and short-term preference learning for next POI recommendation. TKDE (2020)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983711"},{"key":"e_1_3_2_2_12_1","first-page":"129","article-title":"Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs","volume":"45","author":"Yang Dingqi","year":"2014","unstructured":"Dingqi Yang , Daqing Zhang , Vincent W Zheng , and Zhiyong Yu . 2014 . Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs . IEEE Transactions on SMC: Systems , Vol. 45 , 1 (2014), 129 -- 142 . Dingqi Yang, Daqing Zhang, Vincent W Zheng, and Zhiyong Yu. 2014. Modeling user activity preference by leveraging user spatial temporal characteristics in LBSNs. IEEE Transactions on SMC: Systems, Vol. 45, 1 (2014), 129--142.","journal-title":"IEEE Transactions on SMC: Systems"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33015877"},{"key":"e_1_3_2_2_14_1","volume-title":"A survey of point-of-interest recommendation in location-based social networks. arXiv preprint arXiv:1607.00647","author":"Zhao Shenglin","year":"2016","unstructured":"Shenglin Zhao , Irwin King , and Michael R Lyu . 2016. A survey of point-of-interest recommendation in location-based social networks. arXiv preprint arXiv:1607.00647 ( 2016 ). Shenglin Zhao, Irwin King, and Michael R Lyu. 2016. A survey of point-of-interest recommendation in location-based social networks. arXiv preprint arXiv:1607.00647 (2016)."}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Queensland Australia","acronym":"CIKM '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 30th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482189","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482189","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:12Z","timestamp":1750191132000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482189"}},"subtitle":["Spatial-Temporal Periodic Interest Learning for Next Point-of-Interest Recommendation"],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":14,"alternative-id":["10.1145\/3459637.3482189","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482189","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}