{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T00:17:14Z","timestamp":1778372234966,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":33,"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":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872278"],"award-info":[{"award-number":["61872278"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,6]]},"DOI":"10.1145\/3477495.3531935","type":"proceedings-article","created":{"date-parts":[[2022,7,7]],"date-time":"2022-07-07T15:12:08Z","timestamp":1657206728000},"page":"1674-1683","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":46,"title":["An Attribute-Driven Mirror Graph Network for Session-based Recommendation"],"prefix":"10.1145","author":[{"given":"Siqi","family":"Lai","sequence":"first","affiliation":[{"name":"Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erli","family":"Meng","sequence":"additional","affiliation":[{"name":"Xiaomi.com, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenliang","family":"Li","sequence":"additional","affiliation":[{"name":"Wuhan University, Wuhan, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Wang","sequence":"additional","affiliation":[{"name":"Xiaomi.com, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aixin","family":"Sun","sequence":"additional","affiliation":[{"name":"Nanyang Technological University, Singapore, Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"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\/3404835.3462866"},{"key":"e_1_3_2_2_2_1","volume-title":"International conference on machine learning. PMLR, 1597--1607","author":"Chen Ting","year":"2020","unstructured":"Ting Chen , Simon Kornblith , Mohammad Norouzi , and Geoffrey Hinton . 2020 . A simple framework for contrastive learning of visual representations . In International conference on machine learning. PMLR, 1597--1607 . Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton. 2020. A simple framework for contrastive learning of visual representations. In International conference on machine learning. PMLR, 1597--1607."},{"key":"e_1_3_2_2_3_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 Kristina Toutanova . 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 Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_2_4_1","volume-title":"International Conference on Machine Learning. PMLR, 4116--4126","author":"Hassani Kaveh","year":"2020","unstructured":"Kaveh Hassani and Amir Hosein Khasahmadi . 2020 . Contrastive multi-view representation learning on graphs . In International Conference on Machine Learning. PMLR, 4116--4126 . Kaveh Hassani and Amir Hosein Khasahmadi. 2020. Contrastive multi-view representation learning on graphs. In International Conference on Machine Learning. PMLR, 4116--4126."},{"key":"e_1_3_2_2_5_1","volume-title":"Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939","author":"Hidasi Bal\u00e1zs","year":"2015","unstructured":"Bal\u00e1zs Hidasi , Alexandros Karatzoglou , Linas Baltrunas , and Domonkos Tikk . 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 ( 2015 ). Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2015. Session-based recommendations with recurrent neural networks. arXiv preprint arXiv:1511.06939 (2015)."},{"key":"e_1_3_2_2_6_1","volume-title":"Long short-term memory. Neural computation","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation , Vol. 9 , 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation, Vol. 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_2_7_1","volume-title":"International Conference on Learning Representations (ICLR).","author":"Komodakis Nikos","year":"2018","unstructured":"Nikos Komodakis and Spyros Gidaris . 2018 . Unsupervised representation learning by predicting image rotations . In International Conference on Learning Representations (ICLR). Nikos Komodakis and Spyros Gidaris. 2018. Unsupervised representation learning by predicting image rotations. In International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"e_1_3_2_2_9_1","volume-title":"Gated graph sequence neural networks. arXiv preprint arXiv:1511.05493","author":"Li Yujia","year":"2015","unstructured":"Yujia Li , Daniel Tarlow , Marc Brockschmidt , and Richard Zemel . 2015. Gated graph sequence neural networks. arXiv preprint arXiv:1511.05493 ( 2015 ). Yujia Li, Daniel Tarlow, Marc Brockschmidt, and Richard Zemel. 2015. Gated graph sequence neural networks. arXiv preprint arXiv:1511.05493 (2015)."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"e_1_3_2_2_11_1","volume-title":"Self-supervised learning: Generative or contrastive","author":"Liu Xiao","year":"2021","unstructured":"Xiao Liu , Fanjin Zhang , Zhenyu Hou , Li Mian , Zhaoyu Wang , Jing Zhang , and Jie Tang . 2021. Self-supervised learning: Generative or contrastive . IEEE Transactions on Knowledge and Data Engineering ( 2021 ). Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, and Jie Tang. 2021. Self-supervised learning: Generative or contrastive. IEEE Transactions on Knowledge and Data Engineering (2021)."},{"key":"e_1_3_2_2_12_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119.  Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems. 3111--3119."},{"key":"e_1_3_2_2_13_1","volume-title":"Conditional image generation with pixelcnn decoders. arXiv preprint arXiv:1606.05328","author":"van den Oord Aaron","year":"2016","unstructured":"Aaron van den Oord , Nal Kalchbrenner , Oriol Vinyals , Lasse Espeholt , Alex Graves , and Koray Kavukcuoglu . 2016. Conditional image generation with pixelcnn decoders. arXiv preprint arXiv:1606.05328 ( 2016 ). Aaron van den Oord, Nal Kalchbrenner, Oriol Vinyals, Lasse Espeholt, Alex Graves, and Koray Kavukcuoglu. 2016. Conditional image generation with pixelcnn decoders. arXiv preprint arXiv:1606.05328 (2016)."},{"key":"e_1_3_2_2_14_1","volume-title":"Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748","author":"van den Oord Aaron","year":"2018","unstructured":"Aaron van den Oord , Yazhe Li , and Oriol Vinyals . 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 ( 2018 ). Aaron van den Oord, Yazhe Li, and Oriol Vinyals. 2018. Representation learning with contrastive predictive coding. arXiv preprint arXiv:1807.03748 (2018)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412014"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358010"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_2_18_1","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 , Vol. 6 , 9 (2005). Guy Shani, David Heckerman, Ronen I Brafman, and Craig Boutilier. 2005. An MDP-based recommender system. Journal of Machine Learning Research, Vol. 6, 9 (2005).","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2988450.2988452"},{"key":"e_1_3_2_2_20_1","unstructured":"Roberto Turrin Massimo Quadrana Andrea Condorelli Roberto Pagano and Paolo Cremonesi. 2015. 30Music Listening and Playlists Dataset.. In RecSys Posters.  Roberto Turrin Massimo Quadrana Andrea Condorelli Roberto Pagano and Paolo Cremonesi. 2015. 30Music Listening and Playlists Dataset.. In RecSys Posters."},{"key":"e_1_3_2_2_21_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Petar Velivc","year":"2017","unstructured":"Petar Velivc kovi\u0107, Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 ( 2017 ). Petar Velivc kovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)."},{"key":"e_1_3_2_2_22_1","first-page":"4","article-title":"Deep Graph Infomax","volume":"2","author":"Velickovic Petar","year":"2019","unstructured":"Petar Velickovic , William Fedus , William L Hamilton , Pietro Li\u00f2 , Yoshua Bengio , and R Devon Hjelm . 2019 . Deep Graph Infomax . ICLR (Poster) , Vol. 2 , 3 (2019), 4 . Petar Velickovic, William Fedus, William L Hamilton, Pietro Li\u00f2, Yoshua Bengio, and R Devon Hjelm. 2019. Deep Graph Infomax. ICLR (Poster), Vol. 2, 3 (2019), 4.","journal-title":"ICLR (Poster)"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401142"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462862"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482388"},{"key":"e_1_3_2_2_28_1","volume-title":"Self-supervised hypergraph convolutional networks for session-based recommendation. arXiv preprint arXiv:2012.06852","author":"Xia Xin","year":"2020","unstructured":"Xin Xia , Hongzhi Yin , Junliang Yu , Qinyong Wang , Lizhen Cui , and Xiangliang Zhang . 2020. Self-supervised hypergraph convolutional networks for session-based recommendation. arXiv preprint arXiv:2012.06852 ( 2020 ). Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, and Xiangliang Zhang. 2020. Self-supervised hypergraph convolutional networks for session-based recommendation. arXiv preprint arXiv:2012.06852 (2020)."},{"key":"e_1_3_2_2_29_1","first-page":"3940","article-title":"Graph Contextualized Self-Attention Network for Session-based Recommendation","volume":"19","author":"Xu Chengfeng","year":"2019","unstructured":"Chengfeng Xu , Pengpeng Zhao , Yanchi Liu , Victor S Sheng , Jiajie Xu , Fuzhen Zhuang , Junhua Fang , and Xiaofang Zhou . 2019 . Graph Contextualized Self-Attention Network for Session-based Recommendation .. In IJCAI , Vol. 19. 3940 -- 3946 . Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, and Xiaofang Zhou. 2019. Graph Contextualized Self-Attention Network for Session-based Recommendation.. In IJCAI, Vol. 19. 3940--3946.","journal-title":"IJCAI"},{"key":"e_1_3_2_2_30_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_2_31_1","volume-title":"Socially-Aware Self-Supervised Tri-Training for Recommendation. arXiv preprint arXiv:2106.03569","author":"Yu Junliang","year":"2021","unstructured":"Junliang Yu , Hongzhi Yin , Min Gao , Xin Xia , Xiangliang Zhang , and Nguyen Quoc Viet Hung . 2021. Socially-Aware Self-Supervised Tri-Training for Recommendation. arXiv preprint arXiv:2106.03569 ( 2021 ). Junliang Yu, Hongzhi Yin, Min Gao, Xin Xia, Xiangliang Zhang, and Nguyen Quoc Viet Hung. 2021. Socially-Aware Self-Supervised Tri-Training for Recommendation. arXiv preprint arXiv:2106.03569 (2021)."},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411954"},{"key":"e_1_3_2_2_33_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 (2013). Andrew Zimdars, David Maxwell Chickering, and Christopher Meek. 2013. Using temporal data for making recommendations. arXiv preprint arXiv:1301.2320 (2013)."}],"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\/3477495.3531935","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3477495.3531935","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:10:19Z","timestamp":1750183819000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3477495.3531935"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,6]]},"references-count":33,"alternative-id":["10.1145\/3477495.3531935","10.1145\/3477495"],"URL":"https:\/\/doi.org\/10.1145\/3477495.3531935","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"}}]}}