{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,20]],"date-time":"2026-10-20T16:36:42Z","timestamp":1792514202228,"version":"4.5.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T00:00:00Z","timestamp":1697846400000},"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":["72074036"],"award-info":[{"award-number":["72074036"]}]},{"name":"National Natural Science Foundation of China","award":["62072060"],"award-info":[{"award-number":["62072060"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,10,21]]},"DOI":"10.1145\/3583780.3614791","type":"proceedings-article","created":{"date-parts":[[2023,10,21]],"date-time":"2023-10-21T07:45:42Z","timestamp":1697874342000},"page":"2075-2084","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":28,"title":["Bi-channel Multiple Sparse Graph Attention Networks for Session-based Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7368-1535","authenticated-orcid":false,"given":"Shutong","family":"Qiao","sequence":"first","affiliation":[{"name":"Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0839-8773","authenticated-orcid":false,"given":"Wei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6561-560X","authenticated-orcid":false,"given":"Junhao","family":"Wen","sequence":"additional","affiliation":[{"name":"Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3063-9425","authenticated-orcid":false,"given":"Hongyu","family":"Zhang","sequence":"additional","affiliation":[{"name":"Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0127-7477","authenticated-orcid":false,"given":"Min","family":"Gao","sequence":"additional","affiliation":[{"name":"Chongqing University, Chongqing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions","author":"Adomavicius Gediminas","unstructured":"Gediminas Adomavicius and Alexander Tuzhilin . 2005. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions . IEEE transactions on knowledge and data engineering, 17, 6, 734--749. Gediminas Adomavicius and Alexander Tuzhilin. 2005. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE transactions on knowledge and data engineering, 17, 6, 734--749."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462866"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531940"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403170"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3281659"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Gon\u00e7alo M Correia Vlad Niculae and Andr\u00e9 FT Martins. 2019. Adaptively sparse transformers. arXiv preprint arXiv:1909.00015.  Gon\u00e7alo M Correia Vlad Niculae and Andr\u00e9 FT Martins. 2019. Adaptively sparse transformers. arXiv preprint arXiv:1909.00015.","DOI":"10.18653\/v1\/D19-1223"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the fourth ACM conference on Recommender systems, 293--296","author":"James","unstructured":"James Davidson et al. 2010. The youtube video recommendation system . In Proceedings of the fourth ACM conference on Recommender systems, 293--296 . James Davidson et al. 2010. The youtube video recommendation system. In Proceedings of the fourth ACM conference on Recommender systems, 293--296."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2013.120"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Jiuxiang Gu et al. 2018. Recent advances in convolutional neural networks. Pattern recognition 77 354--377.  Jiuxiang Gu et al. 2018. Recent advances in convolutional neural networks. Pattern recognition 77 354--377.","DOI":"10.1016\/j.patcog.2017.10.013"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2013.12.007"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3532024"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482136"},{"key":"e_1_3_2_1_14_1","unstructured":"Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939.  Bal\u00e1zs Hidasi Alexandros Karatzoglou Linas Baltrunas and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16534"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Di Jin Luzhi Wang Yizhen Zheng Guojie Song Fei Jiang Xiang Li Wei Lin and Shirui Pan. 2023. Dual intent enhanced graph neural network for session-based new item recommendation. arXiv preprint arXiv:2305.05848.  Di Jin Luzhi Wang Yizhen Zheng Guojie Song Fei Jiang Xiang Li Wei Lin and Shirui Pan. 2023. Dual intent enhanced graph neural network for session-based new item recommendation. arXiv preprint arXiv:2305.05848.","DOI":"10.1145\/3543507.3583526"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557458"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531794"},{"key":"e_1_3_2_1_20_1","unstructured":"Yujia Li Daniel Tarlow Marc Brockschmidt and Richard Zemel. 2015. Gated graph sequence neural networks. arXiv preprint arXiv:1511.05493.  Yujia Li Daniel Tarlow Marc Brockschmidt and Richard Zemel. 2015. Gated graph sequence neural networks. arXiv preprint arXiv:1511.05493."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570432"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Anjing Luo Pengpeng Zhao Yanchi Liu Fuzhen Zhuang Deqing Wang Jiajie Xu Junhua Fang and Victor S Sheng. 2020. Collaborative self-attention network for session-based recommendation. In IJCAI 2591--2597.  Anjing Luo Pengpeng Zhao Yanchi Liu Fuzhen Zhuang Deqing Wang Jiajie Xu Junhua Fang and Victor S Sheng. 2020. Collaborative self-attention network for session-based recommendation. In IJCAI 2591--2597.","DOI":"10.24963\/ijcai.2020\/359"},{"key":"e_1_3_2_1_23_1","volume-title":"Recurrent neural networks for prediction: learning algorithms, architectures and stability","author":"Mandic Danilo","unstructured":"Danilo Mandic and Jonathon Chambers . 2001. Recurrent neural networks for prediction: learning algorithms, architectures and stability . Wiley . Danilo Mandic and Jonathon Chambers. 2001. Recurrent neural networks for prediction: learning algorithms, architectures and stability. Wiley."},{"key":"e_1_3_2_1_24_1","volume-title":"International conference on machine learning. PMLR, 1614--1623","author":"Martins Andre","year":"2016","unstructured":"Andre Martins and Ramon Astudillo . 2016 . From softmax to sparsemax: a sparse model of attention and multi-label classification . In International conference on machine learning. PMLR, 1614--1623 . Andre Martins and Ramon Astudillo. 2016. From softmax to sparsemax: a sparse model of attention and multi-label classification. In International conference on machine learning. PMLR, 1614--1623."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3473337"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412014"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358010"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_1_30_1","volume-title":"Markus Hagenbuchner, and Gabriele Monfardini.","author":"Scarselli Franco","year":"2008","unstructured":"Franco Scarselli , Marco Gori , Ah Chung Tsoi , Markus Hagenbuchner, and Gabriele Monfardini. 2008 . The graph neural network model. IEEE transactions on neural networks, 20, 1, 61--80. Franco Scarselli, Marco Gori, Ah Chung Tsoi, Markus Hagenbuchner, and Gabriele Monfardini. 2008. The graph neural network model. IEEE transactions on neural networks, 20, 1, 61--80."},{"key":"e_1_3_2_1_31_1","first-page":"9","article-title":"An mdp-based recommender system","volume":"6","author":"Shani Guy","year":"2005","unstructured":"Guy Shani , David Heckerman , Ronen I Brafman , and Craig Boutilier . 2005 . An mdp-based recommender system . Journal of Machine Learning Research , 6 , 9 . Guy Shani, David Heckerman, Ronen I Brafman, and Craig Boutilier. 2005. An mdp-based recommender system. Journal of Machine Learning Research, 6, 9.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_32_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30.  Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. Advances in neural information processing systems 30."},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331210"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401142"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16578"},{"key":"e_1_3_2_1_37_1","volume-title":"Spatio-temporal recommendation in social media","author":"Yin Hongzhi","unstructured":"Hongzhi Yin and Bin Cui . 2016. Spatio-temporal recommendation in social media . Springer . Hongzhi Yin and Bin Cui. 2016. Spatio-temporal recommendation in social media. Springer."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/546"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401319"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271725"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16593"},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.102936"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v28i1.8917"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531895"},{"key":"e_1_3_2_1_45_1","volume-title":"David Maxwell Chickering, and Christopher Meek","author":"Zimdars Andrew","year":"2013","unstructured":"Andrew Zimdars , David Maxwell Chickering, and Christopher Meek . 2013 . Using temporal data for making recommendations. arXiv preprint arXiv:1301.2320. Andrew Zimdars, David Maxwell Chickering, and Christopher Meek. 2013. Using temporal data for making recommendations. arXiv preprint arXiv:1301.2320."}],"event":{"name":"CIKM '23: The 32nd ACM International Conference on Information and Knowledge Management","location":"Birmingham United Kingdom","acronym":"CIKM '23","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 32nd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614791","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3583780.3614791","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:56Z","timestamp":1750178216000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3583780.3614791"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,21]]},"references-count":45,"alternative-id":["10.1145\/3583780.3614791","10.1145\/3583780"],"URL":"https:\/\/doi.org\/10.1145\/3583780.3614791","relation":{},"subject":[],"published":{"date-parts":[[2023,10,21]]},"assertion":[{"value":"2023-10-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}