{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T05:22:31Z","timestamp":1787980951174,"version":"build-2784847793"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,6]],"date-time":"2022-07-06T00:00:00Z","timestamp":1657065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Marsden Fund","award":["MFP-UOA2123"],"award-info":[{"award-number":["MFP-UOA2123"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,6]]},"DOI":"10.1145\/3477495.3531983","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T11:12:13Z","timestamp":1657192333000},"page":"1144-1153","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":253,"title":["GETNext"],"prefix":"10.1145","author":[{"given":"Song","family":"Yang","sequence":"first","affiliation":[{"name":"The Unviersity of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiamou","family":"Liu","sequence":"additional","affiliation":[{"name":"The Unviersity of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kaiqi","family":"Zhao","sequence":"additional","affiliation":[{"name":"The Unviersity of Auckland, Auckland, New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,7,7]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411905"},{"key":"e_1_3_2_2_2_1","unstructured":"Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In Twenty-Third international joint conference on Artificial Intelligence.  Chen Cheng Haiqin Yang Michael R Lyu and Irwin King. 2013. Where you like to go next: Successive point-of-interest recommendation. In Twenty-Third international joint conference on Artificial Intelligence."},{"key":"e_1_3_2_2_3_1","unstructured":"Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly etal 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020).  Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly et al. 2020. An image is worth 16x16 words: Transformers for image recognition at scale. arXiv preprint arXiv:2010.11929 (2020)."},{"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","volume-title":"Twenty-Fourth International Joint Conference on Artificial Intelligence.","author":"Feng Shanshan","year":"2015","unstructured":"Shanshan Feng , Xutao Li , Yifeng Zeng , Gao Cong , Yeow Meng Chee , and Quan Yuan . 2015 . Personalized ranking metric embedding for next new poi recommendation . In Twenty-Fourth International Joint Conference on Artificial Intelligence. Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, and Quan Yuan. 2015. Personalized ranking metric embedding for next new poi recommendation. In Twenty-Fourth International Joint Conference on Artificial Intelligence."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401049"},{"key":"e_1_3_2_2_7_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2417506"},{"key":"e_1_3_2_2_9_1","volume-title":"Time2vec: Learning a vector representation of time. arXiv preprint arXiv:1907.05321","author":"Kazemi Seyed Mehran","year":"2019","unstructured":"Seyed Mehran Kazemi , Rishab Goel , Sepehr Eghbali , Janahan Ramanan , Jaspreet Sahota , Sanjay Thakur , Stella Wu , Cathal Smyth , Pascal Poupart , and Marcus Brubaker . 2019. Time2vec: Learning a vector representation of time. arXiv preprint arXiv:1907.05321 ( 2019 ). Seyed Mehran Kazemi, Rishab Goel, Sepehr Eghbali, Janahan Ramanan, Jaspreet Sahota, Sanjay Thakur, Stella Wu, Cathal Smyth, Pascal Poupart, and Marcus Brubaker. 2019. Time2vec: Learning a vector representation of time. arXiv preprint arXiv:1907.05321 (2019)."},{"key":"e_1_3_2_2_10_1","unstructured":"Thomas N Kipf and Max Welling. 2017. Semi-supervised classification with graph convolutional networks. (2017).  Thomas N Kipf and Max Welling. 2017. Semi-supervised classification with graph convolutional networks. (2017)."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_12_1","unstructured":"Yang Li Tong Chen Hongzhi Yin and Zi Huang. 2021. Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation. In IJCAI.  Yang Li Tong Chen Hongzhi Yin and Zi Huang. 2021. Discovering collaborative signals for next POI recommendation with iterative Seq2Graph augmentation. In IJCAI."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijforecast.2021.03.012"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9971"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939773"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449998"},{"key":"e_1_3_2_2_17_1","volume-title":"Video transformer network. arXiv preprint arXiv:2102.00719","author":"Neimark Daniel","year":"2021","unstructured":"Daniel Neimark , Omri Bar , Maya Zohar , and Dotan Asselmann . 2021. Video transformer network. arXiv preprint arXiv:2102.00719 ( 2021 ). Daniel Neimark, Omri Bar, Maya Zohar, and Dotan Asselmann. 2021. Video transformer network. arXiv preprint arXiv:2102.00719 (2021)."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5353"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_2_21_1","volume-title":"ukasz Kaiser, and Illia Polosukhin","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , Jakob Uszkoreit , Llion Jones , Aidan N Gomez , ukasz Kaiser, and Illia Polosukhin . 2017 . Attention is all you need. In Advances in neural information processing systems. 5998--6008. Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358171"},{"key":"e_1_3_2_2_23_1","volume-title":"Personalized longand short-term preference learning for next POI recommendation","author":"Wu Yuxia","year":"2020","unstructured":"Yuxia Wu , Ke Li , Guoshuai Zhao , and QIAN Xueming . 2020. Personalized longand short-term preference learning for next POI recommendation . IEEE Transactions on Knowledge and Data Engineering ( 2020 ). Yuxia Wu, Ke Li, Guoshuai Zhao, and QIAN Xueming. 2020. Personalized longand short-term preference learning for next POI recommendation. IEEE Transactions on Knowledge and Data Engineering (2020)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983711"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2014.2327053"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972832.19"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484030"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2661829.2661983"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2666310.2666400"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Kangzhi Zhao Yong Zhang Hongzhi Yin Jin Wang Kai Zheng Xiaofang Zhou and Chunxiao Xing. 2020. Discovering Subsequence Patterns for Next POI Recommendation.. In IJCAI. 3216--3222.  Kangzhi Zhao Yong Zhang Hongzhi Yin Jin Wang Kai Zheng Xiaofang Zhou and Chunxiao Xing. 2020. Discovering Subsequence Patterns for Next POI Recommendation.. In IJCAI. 3216--3222.","DOI":"10.24963\/ijcai.2020\/445"},{"key":"e_1_3_2_2_31_1","volume-title":"Where to go next: A spatio-temporal gated network for next poi recommendation","author":"Zhao Pengpeng","year":"2020","unstructured":"Pengpeng Zhao , Anjing Luo , Yanchi Liu , Fuzhen Zhuang , Jiajie Xu , Zhixu Li , Victor S Sheng , and Xiaofang Zhou . 2020. Where to go next: A spatio-temporal gated network for next poi recommendation . IEEE Transactions on Knowledge and Data Engineering ( 2020 ). Pengpeng Zhao, Anjing Luo, Yanchi Liu, Fuzhen Zhuang, Jiajie Xu, Zhixu Li, Victor S Sheng, and Xiaofang Zhou. 2020. Where to go next: A spatio-temporal gated network for next poi recommendation. IEEE Transactions on Knowledge and Data Engineering (2020)."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v30i1.9986"}],"event":{"name":"SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Madrid Spain","acronym":"SIGIR '22","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531983","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477495.3531983","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T14:10:20Z","timestamp":1750169420000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531983"}},"subtitle":["Trajectory Flow Map Enhanced Transformer for Next POI Recommendation"],"short-title":[],"issued":{"date-parts":[[2022,7,6]]},"references-count":32,"alternative-id":["10.1145\/3477495.3531983","10.1145\/3477495"],"URL":"https:\/\/doi.org\/10.1145\/3477495.3531983","relation":{},"subject":[],"published":{"date-parts":[[2022,7,6]]},"assertion":[{"value":"2022-07-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}