{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,18]],"date-time":"2026-02-18T03:47:40Z","timestamp":1771386460108,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,7,18]],"date-time":"2019-07-18T00:00:00Z","timestamp":1563408000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["61872369,61832017"],"award-info":[{"award-number":["61872369,61832017"]}]},{"name":"Fundamental Research Funds for the Central Universities"},{"name":"Research Funds of Renmin University of China","award":["18XNLG22"],"award-info":[{"award-number":["18XNLG22"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,7,18]]},"DOI":"10.1145\/3331184.3331199","type":"proceedings-article","created":{"date-parts":[[2019,7,19]],"date-time":"2019-07-19T13:40:26Z","timestamp":1563543626000},"page":"675-684","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":38,"title":["CTRec"],"prefix":"10.1145","author":[{"given":"Ting","family":"Bai","sequence":"first","affiliation":[{"name":"Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"}]},{"given":"Lixin","family":"Zou","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}]},{"given":"Wayne Xin","family":"Zhao","sequence":"additional","affiliation":[{"name":"Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"}]},{"given":"Pan","family":"Du","sequence":"additional","affiliation":[{"name":"University of Montreal, Montreal, PQ, Canada"}]},{"given":"Weidong","family":"Liu","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}]},{"given":"Jian-Yun","family":"Nie","sequence":"additional","affiliation":[{"name":"University of Montreal, Montreal, PQ, Canada"}]},{"given":"Ji-Rong","family":"Wen","sequence":"additional","affiliation":[{"name":"Renmin University of China & Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2019,7,18]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Ji-Rong Wen, and Jian-Yun Nie.","author":"Bai Ting","year":"2019","unstructured":"Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, and Jian-Yun Nie. 2019. A Long-Short Demands-Aware Model for Next-Item Recommendation. arXiv preprint arXiv:1903.00066 (2019)."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210129"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133083"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219891"},{"key":"e_1_3_2_2_5_1","volume-title":"Deep coevolutionary network: Embedding user and item features for recommendation. arXiv preprint arXiv:1609.03675","author":"Dai Hanjun","year":"2016","unstructured":"Hanjun Dai, Yichen Wang, Rakshit Trivedi, and Le Song. 2016. Deep coevolutionary network: Embedding user and item features for recommendation. arXiv preprint arXiv:1609.03675 (2016)."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109877"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939875"},{"key":"e_1_3_2_2_8_1","volume-title":"Next Basket Prediction using Recurring Sequential Patterns. arXiv preprint arXiv:1702.07158","author":"Guidotti Riccardo","year":"2017","unstructured":"Riccardo Guidotti, Giulio Rossetti, Luca Pappalardo, Fosca Giannotti, and Dino Pedreschi. 2017. Next Basket Prediction using Recurring Sequential Patterns. arXiv preprint arXiv:1702.07158 (2017)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0360-8352(02)00141-9"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109882"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911489"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959167"},{"key":"e_1_3_2_2_14_1","volume-title":"Rabiee","author":"Hosseini Seyedabbas","year":"2018","unstructured":"Seyedabbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, and Hamid R. R. Rabiee. 2018. Recurrent poisson factorization for temporal recommendation. IEEE Transactions on Knowledge and Data Engineering (2018)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109872"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_2_17_1","volume-title":"d.}. Learning Dynamic Embeddings from Temporal Interaction Networks. Learning","author":"Kumar Srijan","unstructured":"Srijan Kumar, Xikun Zhang, and Jure Leskovec. {n. d.}. Learning Dynamic Embeddings from Temporal Interaction Networks. Learning, Vol. 17 ( {n. d.}), 29."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"e_1_3_2_2_19_1","volume-title":"Pollett","author":"Laub Patrick J.","year":"2015","unstructured":"Patrick J. Laub, Thomas Taimre, and Philip K. Pollett. 2015. Hawkes processes. arXiv preprint arXiv:1507.02822 (2015)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939773"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.5555\/3295222.3295420"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.5555\/844380.844798"},{"key":"e_1_3_2_2_25_1","volume-title":"Vallacher","author":"Nowak Andrzej","year":"1998","unstructured":"Andrzej Nowak and Robin R. Vallacher. 1998. Dynamical social psychology. Vol. 647. Guilford Press."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109896"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37456-2_32"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.5555\/1795114.1795167"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_2_30_1","first-page":"73","article-title":"Deep Neural Network Models to Recommend Product Repurchase at the Right Time","volume":"25","author":"Song Hee Seok","year":"2018","unstructured":"Hee Seok Song. 2018. Deep Neural Network Models to Recommend Product Repurchase at the Right Time. Journal of Information Technology Applications & Management, Vol. 25, 2 (2018), 73--90.","journal-title":"Journal of Information Technology Applications & Management"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914726"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2004.02.005"},{"key":"e_1_3_2_2_34_1","unstructured":"Xuan-An Tseng Da-Cheng Juan Chun-Hao Liu Wei Wei Yu-Ting Chen Shih-Chieh Chang and Jia-Yu Pan. 2018. Nested LSTM: Modeling Taxonomy and Temporal Dynamics in Location-Based Social Network. (2018)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.5555\/2993952.2994023"},{"key":"e_1_3_2_2_36_1","volume-title":"Eliezer de Souza da Silva, and Erlend Aune","author":"Vass\u00f8y Bj\u00f8rnar","year":"2018","unstructured":"Bj\u00f8rnar Vass\u00f8y, Massimiliano Ruocco, Eliezer de Souza da Silva, and Erlend Aune. 2018. Time is of the Essence: a Joint Hierarchical RNN and Point Process Model for Time and Item Predictions. arXiv preprint arXiv:1812.01276 (2018)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767694"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018689"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-29035-0_4"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295002"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914683"},{"key":"e_1_3_2_2_42_1","volume-title":"Sheng","author":"Zhao Pengpeng","year":"2018","unstructured":"Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu, and Victor S. Sheng. 2018. Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation. arXiv preprint arXiv:1806.06671 (2018)."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2015.2508816"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623351"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.5555\/3172077.3172393"}],"event":{"name":"SIGIR '19: The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Paris France","acronym":"SIGIR '19","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331184.3331199","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3331184.3331199","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,16]],"date-time":"2026-01-16T00:39:47Z","timestamp":1768523987000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3331184.3331199"}},"subtitle":["A Long-Short Demands Evolution Model for Continuous-Time Recommendation"],"short-title":[],"issued":{"date-parts":[[2019,7,18]]},"references-count":45,"alternative-id":["10.1145\/3331184.3331199","10.1145\/3331184"],"URL":"https:\/\/doi.org\/10.1145\/3331184.3331199","relation":{},"subject":[],"published":{"date-parts":[[2019,7,18]]},"assertion":[{"value":"2019-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}