{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:18:50Z","timestamp":1766269130326,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"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":["62272176"],"award-info":[{"award-number":["62272176"]}],"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":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591706","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:59Z","timestamp":1689726179000},"page":"352-361","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":29,"title":["Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-8296-5749","authenticated-orcid":false,"given":"Qian","family":"Chen","sequence":"first","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9393-4854","authenticated-orcid":false,"given":"Zhiqiang","family":"Guo","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5265-7624","authenticated-orcid":false,"given":"Jianjun","family":"Li","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6984-1914","authenticated-orcid":false,"given":"Guohui","family":"Li","sequence":"additional","affiliation":[{"name":"Huazhong University of Science and Technology, Wuhan, China"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"volume-title":"SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1240--1250.","author":"Ariannezhad Mozhdeh","key":"e_1_3_2_2_1_1","unstructured":"Mozhdeh Ariannezhad, Sami Jullien, Ming Li, Min Fang, Sebastian Schelter, and Maarten de Rijke. 2022. ReCANet: A Repeat Consumption-Aware Neural Network for Next Basket Recommendation in Grocery Shopping. In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1240--1250."},{"key":"e_1_3_2_2_2_1","volume-title":"An Attribute-aware Neural Attentive Model for Next Basket Recommendation. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR. 1201--1204","author":"Bai Ting","year":"2018","unstructured":"Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, and Ji-Rong Wen. 2018. An Attribute-aware Neural Attentive Model for Next Basket Recommendation. In The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR. 1201--1204."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098170"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271810"},{"key":"e_1_3_2_2_5_1","volume-title":"Denoising-Oriented Deep Hierarchical Reinforcement Learning for Next-Basket Recommendation. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 4093--4097","author":"Du Qihan","year":"2022","unstructured":"Qihan Du, Li Yu, Huiyuan Li, Youfang Leng, and Ningrui Ou. 2022. Denoising-Oriented Deep Hierarchical Reinforcement Learning for Next-Basket Recommendation. In IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP. 4093--4097."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503161.3548294"},{"key":"e_1_3_2_2_7_1","volume-title":"Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. In WWW '22: The ACM Web Conference 2022. 2058","author":"Han Teng-Yue","year":"2022","unstructured":"Teng-Yue Han, Pengfei Wang, Shaozhang Niu, and Chenliang Li. 2022. Modality Matches Modality: Pretraining Modality-Disentangled Item Representations for Recommendation. In WWW '22: The ACM Web Conference 2022. 2058--2066."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330979"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401066"},{"key":"e_1_3_2_2_10_1","first-page":"647","article-title":"The information explosion","volume":"65","author":"Huth Edward J","year":"1989","unstructured":"Edward J Huth. 1989. The information explosion. Bulletin of the New York Academy of Medicine, Vol. 65, 6 (1989), 647.","journal-title":"Bulletin of the New York Academy of Medicine"},{"volume-title":"Self-Attentive Sequential Recommendation. In IEEE International Conference on Data Mining, ICDM. 197--206","author":"Kang Wang-Cheng","key":"e_1_3_2_2_11_1","unstructured":"Wang-Cheng Kang and Julian J. McAuley. 2018. Self-Attentive Sequential Recommendation. In IEEE International Conference on Data Mining, ICDM. 197--206."},{"volume-title":"Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR.","author":"Diederik","key":"e_1_3_2_2_12_1","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/389"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-59419-0_39"},{"key":"e_1_3_2_2_15_1","volume-title":"FR: Folded Rationalization with a Unified Encoder. In Advances in Neural Information Processing Systems. https:\/\/openreview.net\/forum?id=ZPyKSBaKkiO","author":"Liu Wei","year":"2022","unstructured":"Wei Liu, Haozhao Wang, Jun Wang, Ruixuan Li, Chao Yue, and YuanKai Zhang. 2022. FR: Folded Rationalization with a Unified Encoder. In Advances in Neural Information Processing Systems. https:\/\/openreview.net\/forum?id=ZPyKSBaKkiO"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330984"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3142773"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462836"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772773"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/245108.245121"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/3497748"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_2_23_1","volume-title":"Next Basket Recommendation with Neural Networks. In Poster Proceedings of the 9th ACM Conference on Recommender Systems, RecSys","volume":"1441","author":"Wan Shengxian","year":"2015","unstructured":"Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, and Xueqi Cheng. 2015. Next Basket Recommendation with Neural Networks. In Poster Proceedings of the 9th ACM Conference on Recommender Systems, RecSys, Vol. 1441."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767694"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/323"},{"key":"e_1_3_2_2_26_1","volume-title":"Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. In The Thirty-Fourth AAAI Conference on Artificial Intelligence. 6259--6266","author":"Wang Shoujin","year":"2020","unstructured":"Shoujin Wang, Liang Hu, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, and Longbing Cao. 2020b. Intention Nets: Psychology-Inspired User Choice Behavior Modeling for Next-Basket Prediction. In The Thirty-Fourth AAAI Conference on Artificial Intelligence. 6259--6266."},{"key":"e_1_3_2_2_27_1","volume-title":"DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management. 1605--1614","author":"Wang Yifan","year":"2020","unstructured":"Yifan Wang, Suyao Tang, Yuntong Lei, Weiping Song, Sheng Wang, and Ming Zhang. 2020c. DisenHAN: Disentangled Heterogeneous Graph Attention Network for Recommendation. In CIKM '20: The 29th ACM International Conference on Information and Knowledge Management. 1605--1614."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/546"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2914683"},{"key":"e_1_3_2_2_30_1","volume-title":"Deep Contrastive Graph Representation via Adaptive Homotopy Learning. CoRR","author":"Zhang Rui","year":"2021","unstructured":"Rui Zhang, Chengjun Lu, Ziheng Jiao, and Xuelong Li. 2021. Deep Contrastive Graph Representation via Adaptive Homotopy Learning. CoRR, Vol. abs\/2106.09244 (2021)."},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512111"},{"key":"e_1_3_2_2_32_1","volume-title":"Graph Contrastive Learning with Adaptive Augmentation. In WWW '21: The Web Conference. 2069--2080","author":"Zhu Yanqiao","year":"2021","unstructured":"Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, and Liang Wang. 2021. Graph Contrastive Learning with Adaptive Augmentation. In WWW '21: The Web Conference. 2069--2080."},{"volume-title":"SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1358--1368.","author":"Zou Ding","key":"e_1_3_2_2_33_1","unstructured":"Ding Zou, Wei Wei, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu, and Xin Cao. 2022. Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. In SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 1358--1368."}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Taipei Taiwan","acronym":"SIGIR '23"},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591706","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591706","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:47:00Z","timestamp":1750178820000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591706"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":33,"alternative-id":["10.1145\/3539618.3591706","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591706","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}