{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T18:51:55Z","timestamp":1772909515997,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":39,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,3]],"date-time":"2019-11-03T00:00:00Z","timestamp":1572739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Ahold Delhaize","award":["Ahold Delhaize"],"award-info":[{"award-number":["Ahold Delhaize"]}]},{"name":"the Association of Universities in the Netherlands (VSNU)","award":["the Association of Universities in the Netherlands (VSNU)"],"award-info":[{"award-number":["the Association of Universities in the Netherlands (VSNU)"]}]},{"name":"the Innovation Center for Artificial Intelligence (ICAI)","award":["the Innovation Center for Artificial Intelligence (ICAI)"],"award-info":[{"award-number":["the Innovation Center for Artificial Intelligence (ICAI)"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,11,3]]},"DOI":"10.1145\/3357384.3357964","type":"proceedings-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T14:11:35Z","timestamp":1572876695000},"page":"1461-1470","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":41,"title":["A Dynamic Co-attention Network for Session-based Recommendation"],"prefix":"10.1145","author":[{"given":"Wanyu","family":"Chen","sequence":"first","affiliation":[{"name":"National University of Defense Technology & University of Amsterdam, Changsha, China"}]},{"given":"Fei","family":"Cai","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}]},{"given":"Honghui","family":"Chen","sequence":"additional","affiliation":[{"name":"National University of Defense Technology, Changsha, China"}]},{"given":"Maarten","family":"de Rijke","sequence":"additional","affiliation":[{"name":"University of Amsterdam, Amsterdam, Netherlands"}]}],"member":"320","published-online":{"date-parts":[[2019,11,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2005.99"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210004"},{"key":"e_1_3_2_1_3_1","volume-title":"Attention-based Hierarchical Neural Query Suggestion. In SIGIR '18 . ACM, 1093--1096","author":"Chen Wanyu","year":"2018","unstructured":"Wanyu Chen , Fei Cai , Honghui Chen , and Maarten de Rijke . 2018 a. Attention-based Hierarchical Neural Query Suggestion. In SIGIR '18 . ACM, 1093--1096 . Wanyu Chen, Fei Cai, Honghui Chen, and Maarten de Rijke. 2018a. Attention-based Hierarchical Neural Query Suggestion. In SIGIR '18 . ACM, 1093--1096."},{"key":"e_1_3_2_1_4_1","volume-title":"Sequential Recommendation with User Memory Networks. In WSDM '18","author":"Chen Xu","year":"2018","unstructured":"Xu Chen , Hongteng Xu , Yongfeng Zhang , Jiaxi Tang , Yixin Cao , Zheng Qin , and Hongyuan Zha . 2018 b. Sequential Recommendation with User Memory Networks. In WSDM '18 . ACM, 108--116. Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, and Hongyuan Zha. 2018b. Sequential Recommendation with User Memory Networks. In WSDM '18. ACM, 108--116."},{"key":"e_1_3_2_1_5_1","volume-title":"Sequential User-based Recurrent Neural Network Recommendations. In RecSys '17 . ACM, 152--160","author":"Donkers Tim","year":"2017","unstructured":"Tim Donkers , Benedikt Loepp , and J\u00fcrgen Ziegler . 2017 . Sequential User-based Recurrent Neural Network Recommendations. In RecSys '17 . ACM, 152--160 . Tim Donkers, Benedikt Loepp, and J\u00fcrgen Ziegler. 2017. Sequential User-based Recurrent Neural Network Recommendations. In RecSys '17 . ACM, 152--160."},{"key":"e_1_3_2_1_6_1","volume-title":"Yeow Meng Chee, and Quan Yuan","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 IJCAI'15 . AAAI Press , 2069--2075. 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 IJCAI'15 . AAAI Press, 2069--2075."},{"key":"e_1_3_2_1_7_1","volume-title":"Dauphin","author":"Gehring Jonas","year":"2017","unstructured":"Jonas Gehring , Michael Auli , David Grangier , Denis Yarats , and Yann N . Dauphin . 2017 . Convolutional Sequence to Sequence Learning. CoRR , Vol. abs\/ 1705 .03122 (2017). Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, and Yann N. Dauphin. 2017. Convolutional Sequence to Sequence Learning. CoRR , Vol. abs\/1705.03122 (2017)."},{"key":"e_1_3_2_1_8_1","volume-title":"Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. In International Conference on Data Mining. IEEE, 191--200","author":"He Ruining","year":"2016","unstructured":"Ruining He and Julian McAuley . 2016 . Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. In International Conference on Data Mining. IEEE, 191--200 . Ruining He and Julian McAuley. 2016. Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation. In International Conference on Data Mining. IEEE, 191--200."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/2806416.2806504"},{"key":"e_1_3_2_1_10_1","volume-title":"Adversarial Personalized Ranking for Recommendation. In SIGIR '18 . ACM, 355--364","author":"He Xiangnan","year":"2018","unstructured":"Xiangnan He , Zhankui He , Xiaoyu Du , and Tat-Seng Chua . 2018 a. Adversarial Personalized Ranking for Recommendation. In SIGIR '18 . ACM, 355--364 . Xiangnan He, Zhankui He, Xiaoyu Du, and Tat-Seng Chua. 2018a. Adversarial Personalized Ranking for Recommendation. In SIGIR '18 . ACM, 355--364."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2831682"},{"key":"e_1_3_2_1_12_1","volume-title":"Neural Collaborative Filtering. In WWW '17","author":"He Xiangnan","year":"2017","unstructured":"Xiangnan He , Lizi Liao , Hanwang Zhang , Liqiang Nie , Xia Hu , and Tat-Seng Chua . 2017 . Neural Collaborative Filtering. In WWW '17 . ACM, 173--182. Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. 2017. Neural Collaborative Filtering. In WWW '17. ACM, 173--182."},{"key":"e_1_3_2_1_13_1","volume-title":"Session-based Recommendations with Recurrent Neural Networks. In ICLR'16","author":"Hidasi Bal\u00e1","year":"2016","unstructured":"Bal\u00e1 zs Hidasi , Alexandros Karatzoglou , Linas Baltrunas , and Domonkos Tikk . 2016 . Session-based Recommendations with Recurrent Neural Networks. In ICLR'16 . 1--10. Bal\u00e1 zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based Recommendations with Recurrent Neural Networks. In ICLR'16. 1--10."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2433396.2433419"},{"key":"e_1_3_2_1_15_1","volume-title":"Deep Matrix Factorization Models for Recommender Systems. In IJCAI '17 . 3203--3209","author":"Hong-Jian Xue","year":"2017","unstructured":"Xue Hong-Jian , Dai Xinyu , Zhang Jianbing , Huang Shujian , and Chen Jiajun . 2017 . Deep Matrix Factorization Models for Recommender Systems. In IJCAI '17 . 3203--3209 . Xue Hong-Jian, Dai Xinyu, Zhang Jianbing, Huang Shujian, and Chen Jiajun. 2017. Deep Matrix Factorization Models for Recommender Systems. In IJCAI '17 . 3203--3209."},{"key":"e_1_3_2_1_16_1","volume-title":"Keynote: Session-Based Recommendation -- Challenges and Recent Advances. In KI 2018: Advances in Artificial Intelligence","author":"Jannach Dietmar","year":"2018","unstructured":"Dietmar Jannach . 2018 . Keynote: Session-Based Recommendation -- Challenges and Recent Advances. In KI 2018: Advances in Artificial Intelligence . Springer International Publishing , Cham , 3--7. Dietmar Jannach. 2018. Keynote: Session-Based Recommendation -- Challenges and Recent Advances. In KI 2018: Advances in Artificial Intelligence. Springer International Publishing, Cham, 3--7."},{"key":"e_1_3_2_1_17_1","volume-title":"Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik","year":"2014","unstructured":"Diederik Kingma and Jimmy Ba . 2014 . Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik Kingma and Jimmy Ba. 2014. Adam: A Method for Stochastic Optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_19_1","volume-title":"Neural Attentive Session-based Recommendation. In CIKM '17","author":"Li Jing","year":"2017","unstructured":"Jing Li , Pengjie Ren , Zhumin Chen , Zhaochun Ren , Tao Lian , and Jun Ma . 2017 . Neural Attentive Session-based Recommendation. In CIKM '17 . ACM, 1419--1428. Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, and Jun Ma. 2017. Neural Attentive Session-based Recommendation. In CIKM '17. ACM, 1419--1428."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2661760"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271733"},{"key":"e_1_3_2_1_23_1","volume-title":"Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. In RecSys '17","author":"Quadrana Massimo","year":"2017","unstructured":"Massimo Quadrana , Alexandros Karatzoglou , Bal\u00e1zs Hidasi , and Paolo Cremonesi . 2017 . Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. In RecSys '17 . ACM, 130--137. Massimo Quadrana, Alexandros Karatzoglou, Bal\u00e1zs Hidasi, and Paolo Cremonesi. 2017. Personalizing Session-based Recommendations with Hierarchical Recurrent Neural Networks. In RecSys '17. ACM, 130--137."},{"key":"e_1_3_2_1_24_1","volume-title":"RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation. In AAAI '19","author":"Ren Pengjie","year":"2019","unstructured":"Pengjie Ren , Zhumin Chen , Jing Li , Zhaochun Ren , Jun Ma , and Maarten de Rijke . 2019 . RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation. In AAAI '19 . AAAI. Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, and Maarten de Rijke. 2019. RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-based Recommendation. In AAAI '19. AAAI."},{"key":"e_1_3_2_1_25_1","volume-title":"Factorizing Personalized Markov Chains for Next-basket Recommendation. In WWW '10 . ACM, 811--820","author":"Rendle Steffen","year":"2010","unstructured":"Steffen Rendle , Christoph Freudenthaler , and Lars Schmidt-Thieme . 2010 . Factorizing Personalized Markov Chains for Next-basket Recommendation. In WWW '10 . ACM, 811--820 . Steffen Rendle, Christoph Freudenthaler, and Lars Schmidt-Thieme. 2010. Factorizing Personalized Markov Chains for Next-basket Recommendation. In WWW '10 . ACM, 811--820."},{"key":"e_1_3_2_1_26_1","volume-title":"Improved Recurrent Neural Networks for Session-based Recommendations. In DLRS 2016 . ACM, 17--22","author":"Tan Yong Kiam","year":"2016","unstructured":"Yong Kiam Tan , Xinxing Xu , and Yong Liu . 2016 . Improved Recurrent Neural Networks for Session-based Recommendations. In DLRS 2016 . ACM, 17--22 . Yong Kiam Tan, Xinxing Xu, and Yong Liu. 2016. Improved Recurrent Neural Networks for Session-based Recommendations. In DLRS 2016 . ACM, 17--22."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186154"},{"key":"e_1_3_2_1_29_1","volume-title":"Luu Anh Tuan, and Siu Cheung Hui","author":"Tay Yi","year":"2018","unstructured":"Yi Tay , Luu Anh Tuan, and Siu Cheung Hui . 2018 b. Multi-Pointer Co-Attention Networks for Recommendation. CoRR , Vol. abs\/ 1801 .09251 (2018). Yi Tay, Luu Anh Tuan, and Siu Cheung Hui. 2018b. Multi-Pointer Co-Attention Networks for Recommendation. CoRR , Vol. abs\/1801.09251 (2018)."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271668"},{"key":"e_1_3_2_1_31_1","volume-title":"Item Recommendation on Monotonic Behavior Chains. In RecSys '18","author":"Wan Mengting","year":"2018","unstructured":"Mengting Wan and Julian McAuley . 2018 . Item Recommendation on Monotonic Behavior Chains. In RecSys '18 . ACM. Mengting Wan and Julian McAuley. 2018. Item Recommendation on Monotonic Behavior Chains. In RecSys '18. ACM."},{"key":"e_1_3_2_1_32_1","volume-title":"Learning Hierarchical Representation Model for NextBasket Recommendation. In SIGIR '15 . ACM, 403--412","author":"Wang Pengfei","year":"2015","unstructured":"Pengfei Wang , Jiafeng Guo , Yanyan Lan , Jun Xu , Shengxian Wan , and Xueqi Cheng . 2015 . Learning Hierarchical Representation Model for NextBasket Recommendation. In SIGIR '15 . ACM, 403--412 . Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, and Xueqi Cheng. 2015. Learning Hierarchical Representation Model for NextBasket Recommendation. In SIGIR '15 . ACM, 403--412."},{"key":"e_1_3_2_1_33_1","volume-title":"A Survey on Session-based Recommender Systems. CoRR","author":"Wang Shoujin","year":"2019","unstructured":"Shoujin Wang , Longbing Cao , and Yan Wang . 2019. A Survey on Session-based Recommender Systems. CoRR , Vol. abs\/ 1902 .04864 ( 2019 ). Shoujin Wang, Longbing Cao, and Yan Wang. 2019. A Survey on Session-based Recommender Systems. CoRR , Vol. abs\/1902.04864 (2019)."},{"key":"e_1_3_2_1_34_1","volume-title":"Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. In IJCAI '17","author":"Wu Bo","year":"2017","unstructured":"Bo Wu , Wen Huang Cheng , Yongdong Zhang , Huang Qiushi , Li Jintao , and Tao Mei . 2017 . Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. In IJCAI '17 . 3062--3068. Bo Wu, Wen Huang Cheng, Yongdong Zhang, Huang Qiushi, Li Jintao, and Tao Mei. 2017. Sequential Prediction of Social Media Popularity with Deep Temporal Context Networks. In IJCAI '17. 3062--3068."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/546"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914683"},{"key":"e_1_3_2_1_37_1","volume-title":"Deep Learning based Recommender System: A Survey and New Perspectives. arXiv preprint arXiv:1707.07435","author":"Zhang Shuai","year":"2017","unstructured":"Shuai Zhang , Lina Yao , and Aixin Sun . 2017. Deep Learning based Recommender System: A Survey and New Perspectives. arXiv preprint arXiv:1707.07435 ( 2017 ). Shuai Zhang, Lina Yao, and Aixin Sun. 2017. Deep Learning based Recommender System: A Survey and New Perspectives. arXiv preprint arXiv:1707.07435 (2017)."},{"key":"e_1_3_2_1_38_1","volume-title":"NeuRec: On Nonlinear Transformation for Personalized Ranking. arXiv preprint arXiv:1805.03002","author":"Zhang Shuai","year":"2018","unstructured":"Shuai Zhang , Lina Yao , Aixin Sun , Sen Wang , Guodong Long , and Manqing Dong . 2018. NeuRec: On Nonlinear Transformation for Personalized Ranking. arXiv preprint arXiv:1805.03002 ( 2018 ). Shuai Zhang, Lina Yao, Aixin Sun, Sen Wang, Guodong Long, and Manqing Dong. 2018. NeuRec: On Nonlinear Transformation for Personalized Ranking. arXiv preprint arXiv:1805.03002 (2018)."},{"key":"e_1_3_2_1_39_1","volume-title":"Joint Deep Modeling of Users and Items Using Reviews for Recommendation. In WSDM '17 . ACM, 425--434","author":"Zheng Lei","unstructured":"Lei Zheng , Vahid Noroozi , and Philip S. Yu . 2017 . Joint Deep Modeling of Users and Items Using Reviews for Recommendation. In WSDM '17 . ACM, 425--434 . Lei Zheng, Vahid Noroozi, and Philip S. Yu. 2017. Joint Deep Modeling of Users and Items Using Reviews for Recommendation. In WSDM '17 . ACM, 425--434."}],"event":{"name":"CIKM '19: The 28th ACM International Conference on Information and Knowledge Management","location":"Beijing China","acronym":"CIKM '19","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 28th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3357964","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3357384.3357964","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:23:04Z","timestamp":1750202584000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3357964"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,3]]},"references-count":39,"alternative-id":["10.1145\/3357384.3357964","10.1145\/3357384"],"URL":"https:\/\/doi.org\/10.1145\/3357384.3357964","relation":{},"subject":[],"published":{"date-parts":[[2019,11,3]]},"assertion":[{"value":"2019-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}