{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T20:57:49Z","timestamp":1780520269775,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Key R&D Program of China","award":["2017YFC0803700"],"award-info":[{"award-number":["2017YFC0803700"]}]},{"name":"Shanghai Knowledge Service Platform Project","award":["ZF1213"],"award-info":[{"award-number":["ZF1213"]}]},{"name":"NSFC grants","award":["61532021 and 61972155"],"award-info":[{"award-number":["61532021 and 61972155"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3411869","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T06:18:51Z","timestamp":1603088331000},"page":"565-574","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":21,"title":["Sequential Recommender via Time-aware Attentive Memory Network"],"prefix":"10.1145","author":[{"given":"Wendi","family":"Ji","sequence":"first","affiliation":[{"name":"East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Keqiang","family":"Wang","sequence":"additional","affiliation":[{"name":"Pingan Health Technology, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoling","family":"Wang","sequence":"additional","affiliation":[{"name":"East China Normal University & Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tingwei","family":"Chen","sequence":"additional","affiliation":[{"name":"Liaoning University, Shenyang, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandra","family":"Cristea","sequence":"additional","affiliation":[{"name":"Durham University, Durham, United Kingdom"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Proceedings of the 57th ACL. 336--345","author":"An Mingxiao","unstructured":"Mingxiao An , Fangzhao Wu , Chuhan Wu , and et al. 2019. Neural News Recommendation with Long-and Short-term User Representations . In Proceedings of the 57th ACL. 336--345 . Mingxiao An, Fangzhao Wu, Chuhan Wu, and et al. 2019. Neural News Recommendation with Long-and Short-term User Representations. In Proceedings of the 57th ACL. 336--345."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2043932.2043988"},{"key":"e_1_3_2_2_3_1","volume-title":"Proceedings of the 11th WSDM. 46--54","author":"Beutel Alex","unstructured":"Alex Beutel , Paul Covington , Sagar Jain , and et al. 2018. Latent cross: Making use of context in recurrent recommender systems . In Proceedings of the 11th WSDM. 46--54 . Alex Beutel, Paul Covington, Sagar Jain, and et al. 2018. Latent cross: Making use of context in recurrent recommender systems. In Proceedings of the 11th WSDM. 46--54."},{"key":"e_1_3_2_2_4_1","volume-title":"Proceedings of the 11th WSDM. 108--116","author":"Chen Xu","unstructured":"Xu Chen , Hongteng Xu , Yongfeng Zhang , and et al. 2018. Sequential recommendation with user memory networks . In Proceedings of the 11th WSDM. 108--116 . Xu Chen, Hongteng Xu, Yongfeng Zhang, and et al. 2018. Sequential recommendation with user memory networks. In Proceedings of the 11th WSDM. 108--116."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.330153"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_2_7_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin , Ming-Wei Chang , Kenton Lee , and 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and et al. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3079628.3079670"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209991"},{"key":"e_1_3_2_2_10_1","volume-title":"Proceedings of the 26th IJCAI. 2301--2307","author":"Feng Yufei","unstructured":"Yufei Feng , Fuyu Lv , Weichen Shen , and et al. 2019. Deep Session Interest Network for Click-Through Rate Prediction . In Proceedings of the 26th IJCAI. 2301--2307 . Yufei Feng, Fuyu Lv, Weichen Shen, and et al. 2019. Deep Session Interest Network for Click-Through Rate Prediction. In Proceedings of the 26th IJCAI. 2301--2307."},{"key":"e_1_3_2_2_11_1","volume-title":"Proceedings of the 34th ICML. 1243--1252","author":"Gehring Jonas","unstructured":"Jonas Gehring , Michael Auli , David Grangier , and et al. 2017. Convolutional sequence to sequence learning . In Proceedings of the 34th ICML. 1243--1252 . Jonas Gehring, Michael Auli, David Grangier, and et al. 2017. Convolutional sequence to sequence learning. In Proceedings of the 34th ICML. 1243--1252."},{"key":"e_1_3_2_2_12_1","volume-title":"Neural turing machines. arXiv preprint arXiv:1410.5401","author":"Graves Alex","year":"2014","unstructured":"Alex Graves , Greg Wayne , and Ivo Danihelka . 2014. Neural turing machines. arXiv preprint arXiv:1410.5401 ( 2014 ). Alex Graves, Greg Wayne, and Ivo Danihelka. 2014. Neural turing machines. arXiv preprint arXiv:1410.5401 (2014)."},{"key":"e_1_3_2_2_13_1","volume-title":"Nature","volume":"538","author":"Graves Alex","year":"2016","unstructured":"Alex Graves , Greg Wayne , Malcolm Reynolds , and et al. 2016. Hybrid computing using a neural network with dynamic external memory . Nature , Vol. 538 , 7626 ( 2016 ), 471--476. Alex Graves, Greg Wayne, Malcolm Reynolds, and et al. 2016. Hybrid computing using a neural network with dynamic external memory. Nature, Vol. 538, 7626 (2016), 471--476."},{"key":"e_1_3_2_2_14_1","volume-title":"Proceedings of the 26th WWW. 173--182","author":"He Xiangnan","unstructured":"Xiangnan He , Lizi Liao , Hanwang Zhang , and et al. 2017. Neural collaborative filtering . In Proceedings of the 26th WWW. 173--182 . Xiangnan He, Lizi Liao, Hanwang Zhang, and et al. 2017. Neural collaborative filtering. In Proceedings of the 26th WWW. 173--182."},{"key":"e_1_3_2_2_15_1","unstructured":"Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and etal 2015. Session-based Recommendations with Recurrent Neural Networks. Computing Research Repository Vol. abs\/1511.06939 (2015).  Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and et al. 2015. Session-based Recommendations with Recurrent Neural Networks. Computing Research Repository Vol. abs\/1511.06939 (2015)."},{"key":"e_1_3_2_2_16_1","volume-title":"Proceedings of the 26th AAAI. 1858--1864","author":"Hu Liang","unstructured":"Liang Hu , Longbing Cao , Shoujin Wang , and et al. 2017. Diversifying Personalized Recommendation with User-session Context . In Proceedings of the 26th AAAI. 1858--1864 . Liang Hu, Longbing Cao, Shoujin Wang, and et al. 2017. Diversifying Personalized Recommendation with User-session Context. In Proceedings of the 26th AAAI. 1858--1864."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_19_1","volume-title":"Proceedings of the 33rd ICML. 1378--1387","author":"Kumar Ankit","unstructured":"Ankit Kumar , Ozan Irsoy , Peter Ondruska , and et al. 2016. Ask me anything: Dynamic memory networks for natural language processing . In Proceedings of the 33rd ICML. 1378--1387 . Ankit Kumar, Ozan Irsoy, Peter Ondruska, and et al. 2016. Ask me anything: Dynamic memory networks for natural language processing. In Proceedings of the 33rd ICML. 1378--1387."},{"key":"e_1_3_2_2_20_1","volume-title":"Proceedings of the 26th CIKM. 1419--1428","author":"Li Jing","unstructured":"Jing Li , Pengjie Ren , Zhumin Chen , and et al. 2017. Neural attentive session-based recommendation . In Proceedings of the 26th CIKM. 1419--1428 . Jing Li, Pengjie Ren, Zhumin Chen, and et al. 2017. Neural attentive session-based recommendation. In Proceedings of the 26th CIKM. 1419--1428."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371786"},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of the 24th SIGKDD. 1734--1743","author":"Li Zhi","unstructured":"Zhi Li , Hongke Zhao , Qi Liu , and et al. 2018. Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors . In Proceedings of the 24th SIGKDD. 1734--1743 . Zhi Li, Hongke Zhao, Qi Liu, and et al. 2018. Learning from history and present: Next-item recommendation via discriminatively exploiting user behaviors. In Proceedings of the 24th SIGKDD. 1734--1743."},{"key":"e_1_3_2_2_23_1","volume-title":"Proceedings of the 24th ACM SIGKDD. 1831--1839","author":"Liu Qiao","unstructured":"Qiao Liu , Yifu Zeng , Refuoe Mokhosi , and et al. 2018. STAMP: short-term attention\/memory priority model for session-based recommendation . In Proceedings of the 24th ACM SIGKDD. 1831--1839 . Qiao Liu, Yifu Zeng, Refuoe Mokhosi, and et al. 2018. STAMP: short-term attention\/memory priority model for session-based recommendation. In Proceedings of the 24th ACM SIGKDD. 1831--1839."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1118"},{"key":"e_1_3_2_2_25_1","unstructured":"Tomas Mikolov Kai Chen Gregory S. Corrado and etal 2013. Efficient Estimation of Word Representations in Vector Space. CoRR Vol. abs\/1301.3781 (2013).  Tomas Mikolov Kai Chen Gregory S. Corrado and et al. 2013. Efficient Estimation of Word Representations in Vector Space. CoRR Vol. abs\/1301.3781 (2013)."},{"key":"e_1_3_2_2_26_1","volume-title":"Proceedings of the 25th UAI. 452--461","author":"Rendle Steffen","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and et al. 2009. BPR: Bayesian personalized ranking from implicit feedback . In Proceedings of the 25th UAI. 452--461 . Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and et al. 2009. BPR: Bayesian personalized ranking from implicit feedback. In Proceedings of the 25th UAI. 452--461."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1454008.1454047"},{"key":"e_1_3_2_2_28_1","volume-title":"A survey of collaborative filtering techniques. Advances in artificial intelligence","author":"Su Xiaoyuan","unstructured":"Xiaoyuan Su and Taghi M Khoshgoftaar . [n.d.]. A survey of collaborative filtering techniques. Advances in artificial intelligence , Vol. 2009 ( [n.,d.]). Xiaoyuan Su and Taghi M Khoshgoftaar. [n.d.]. A survey of collaborative filtering techniques. Advances in artificial intelligence, Vol. 2009 ( [n.,d.])."},{"key":"e_1_3_2_2_29_1","volume-title":"Proceedings of the 28st NIPS. 2440--2448","author":"Sukhbaatar Sainbayar","unstructured":"Sainbayar Sukhbaatar , Jason Weston , Rob Fergus , and et al. 2015. End-to-end memory networks . In Proceedings of the 28st NIPS. 2440--2448 . Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, and et al. 2015. End-to-end memory networks. In Proceedings of the 28st NIPS. 2440--2448."},{"key":"e_1_3_2_2_30_1","volume-title":"Proceedings of the 28th WWW. 1841--1852","author":"Tran Thanh","unstructured":"Thanh Tran , Xinyue Liu , Kyumin Lee , and et al. 2019. Signed Distance-based Deep Memory Recommender . In Proceedings of the 28th WWW. 1841--1852 . Thanh Tran, Xinyue Liu, Kyumin Lee, and et al. 2019. Signed Distance-based Deep Memory Recommender. In Proceedings of the 28th WWW. 1841--1852."},{"key":"e_1_3_2_2_31_1","volume-title":"Proceedings of the 31st NIPS. 5998--6008","author":"Vaswani Ashish","unstructured":"Ashish Vaswani , Noam Shazeer , Niki Parmar , and et al. 2017. Attention is all you need . In Proceedings of the 31st NIPS. 5998--6008 . Ashish Vaswani, Noam Shazeer, Niki Parmar, and et al. 2017. Attention is all you need. In Proceedings of the 31st NIPS. 5998--6008."},{"key":"e_1_3_2_2_32_1","volume-title":"Proceedings of the 42nd SIGIR. 345--354","author":"Wang Meirui","unstructured":"Meirui Wang , Pengjie Ren , Lei Mei , and et al. 2019. A collaborative session-based recommendation approach with parallel memory modules . In Proceedings of the 42nd SIGIR. 345--354 . Meirui Wang, Pengjie Ren, Lei Mei, and et al. 2019. A collaborative session-based recommendation approach with parallel memory modules. In Proceedings of the 42nd SIGIR. 345--354."},{"key":"e_1_3_2_2_33_1","volume-title":"Proceedings of the 7th ICLR.","author":"Socher Richard","year":"2019","unstructured":"Chien-sheng Wu, Richard Socher , and Caiming Xiong . 2019 b. Global-to-local Memory Pointer Networks for Task-oriented Dialogue . In Proceedings of the 7th ICLR. Chien-sheng Wu, Richard Socher, and Caiming Xiong. 2019 b. Global-to-local Memory Pointer Networks for Task-oriented Dialogue. In Proceedings of the 7th ICLR."},{"key":"e_1_3_2_2_34_1","volume-title":"Proceedings of the 25th SIGKDD. 447--457","author":"Wu Qitian","unstructured":"Qitian Wu , Yirui Gao , Xiaofeng Gao , and et al. 2019 a. Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination . In Proceedings of the 25th SIGKDD. 447--457 . Qitian Wu, Yirui Gao, Xiaofeng Gao, and et al. 2019 a. Dual Sequential Prediction Models Linking Sequential Recommendation and Information Dissemination. In Proceedings of the 25th SIGKDD. 447--457."},{"key":"e_1_3_2_2_35_1","volume-title":"Proceedings of the 13th RecSys. 269--277","author":"Yi Xinyang","unstructured":"Xinyang Yi , Ji Yang , Lichan Hong , and et al. 2019. Sampling-bias-corrected neural modeling for large corpus item recommendations . In Proceedings of the 13th RecSys. 269--277 . Xinyang Yi, Ji Yang, Lichan Hong, and et al. 2019. Sampling-bias-corrected neural modeling for large corpus item recommendations. In Proceedings of the 13th RecSys. 269--277."},{"key":"e_1_3_2_2_36_1","volume-title":"Proceedings of the 33rd AAAI.","author":"Yu Lu","unstructured":"Lu Yu , Chuxu Zhang , Shangsong Liang , and et al. 2019 b. Multi-order Attentive Ranking Model for Sequential Recommendation . In Proceedings of the 33rd AAAI. Lu Yu, Chuxu Zhang, Shangsong Liang, and et al. 2019 b. Multi-order Attentive Ranking Model for Sequential Recommendation. In Proceedings of the 33rd AAAI."},{"key":"e_1_3_2_2_37_1","volume-title":"Proceedings of the 28th IJCAI).","author":"Yu Zeping","unstructured":"Zeping Yu , Jianxun Lian , Ahmad Mahmoody , and et al. 2019 a. Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation . In Proceedings of the 28th IJCAI). Zeping Yu, Jianxun Lian, Ahmad Mahmoody, and et al. 2019 a. Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. In Proceedings of the 28th IJCAI)."},{"key":"e_1_3_2_2_38_1","volume-title":"Proceedings of the 26th WWW. 765--774","author":"Zhang Jiani","unstructured":"Jiani Zhang , Xingjian Shi , Irwin King , and et al. 2017. Dynamic key-value memory networks for knowledge tracing . In Proceedings of the 26th WWW. 765--774 . Jiani Zhang, Xingjian Shi, Irwin King, and et al. 2017. Dynamic key-value memory networks for knowledge tracing. In Proceedings of the 26th WWW. 765--774."},{"key":"e_1_3_2_2_39_1","volume-title":"Proceedings of 33rd the AAAI. 5941--5948","author":"Zhou Guorui","unstructured":"Guorui Zhou , Na Mou , Ying Fan , and et al. 2019. Deep interest evolution network for click-through rate prediction . In Proceedings of 33rd the AAAI. 5941--5948 . Guorui Zhou, Na Mou, Ying Fan, and et al. 2019. Deep interest evolution network for click-through rate prediction. In Proceedings of 33rd the AAAI. 5941--5948."},{"key":"e_1_3_2_2_40_1","volume-title":"Proceedings of the 26th IJCAI. 3602--3608","author":"Zhu Yu","unstructured":"Yu Zhu , Hao Li , Yikang Liao , and et al. 2017. What to do next: modeling user behaviors by time-LSTM . In Proceedings of the 26th IJCAI. 3602--3608 . Yu Zhu, Hao Li, Yikang Liao, and et al. 2017. What to do next: modeling user behaviors by time-LSTM. In Proceedings of the 26th IJCAI. 3602--3608."}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411869","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3411869","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T00:25:49Z","timestamp":1750206349000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411869"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":40,"alternative-id":["10.1145\/3340531.3411869","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3411869","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}