{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:18:53Z","timestamp":1780636733214,"version":"3.54.1"},"reference-count":64,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2023,12,29]],"date-time":"2023-12-29T00:00:00Z","timestamp":1703808000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62376051, 62076046, and 62006034"],"award-info":[{"award-number":["62376051, 62076046, and 62006034"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Inf. Syst."],"published-print":{"date-parts":[[2024,5,31]]},"abstract":"<jats:p>Session-based recommendation intends to predict next purchased items based on anonymous behavior sequences. Numerous economic studies have revealed that item price is a key factor influencing user purchase decisions. Unfortunately, existing methods for session-based recommendation only aim at capturing user interest preference, while ignoring user price preference. Actually, there are primarily two challenges preventing us from accessing price preference. First, the price preference is highly associated to various item features (i.e., category and brand), which asks us to mine price preference from heterogeneous information. Second, price preference and interest preference are interdependent and collectively determine user choice, necessitating that we jointly consider both price and interest preference for intent modeling. To handle above challenges, we propose a novel approach Bi-Preference Learning Heterogeneous Hypergraph Networks (BiPNet) for session-based recommendation. Specifically, the customized heterogeneous hypergraph networks with a triple-level convolution are devised to capture user price and interest preference from heterogeneous features of items. Besides, we develop a Bi-Preference Learning schema to explore mutual relations between price and interest preference and collectively learn these two preferences under the multi-task learning architecture. Extensive experiments on multiple public datasets confirm the superiority of BiPNet over competitive baselines. Additional research also supports the notion that the price is crucial for the task.<\/jats:p>\n          <jats:p\/>","DOI":"10.1145\/3631940","type":"journal-article","created":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T12:19:44Z","timestamp":1699359584000},"page":"1-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"title":["Bi-preference Learning Heterogeneous Hypergraph Networks for Session-based Recommendation"],"prefix":"10.1145","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9755-2471","authenticated-orcid":false,"given":"Xiaokun","family":"Zhang","sequence":"first","affiliation":[{"name":"Dalian University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5453-978X","authenticated-orcid":false,"given":"Bo","family":"Xu","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4999-0303","authenticated-orcid":false,"given":"Fenglong","family":"Ma","sequence":"additional","affiliation":[{"name":"Pennsylvania State University, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3144-6374","authenticated-orcid":false,"given":"Chenliang","family":"Li","sequence":"additional","affiliation":[{"name":"Wuhan University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7452-5270","authenticated-orcid":false,"given":"Yuan","family":"Lin","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0872-7688","authenticated-orcid":false,"given":"Hongfei","family":"Lin","sequence":"additional","affiliation":[{"name":"Dalian University of Technology, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2023,12,29]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.5555\/2774904.2774913"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531940"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539618.3591706"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403170"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512066"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498464"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-8116(00)00005-7"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330673"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013558"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.02.026"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2017.02.031"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498524"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557314"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271761"},{"key":"e_1_3_2_17_2","volume-title":"Proceedings of the 4th International Conference on Learning Representations (ICLR\u201916)","author":"Hidasi Bal\u00e1zs","year":"2016","unstructured":"Bal\u00e1zs Hidasi, Alexandros Karatzoglou, Linas Baltrunas, and Domonkos Tikk. 2016. Session-based recommendations with recurrent neural networks. In Proceedings of the 4th International Conference on Learning Representations (ICLR\u201916)."},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539381"},{"key":"e_1_3_2_19_2","first-page":"4820","volume-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP\u201919)","author":"Hu Linmei","year":"2019","unstructured":"Linmei Hu, Tianchi Yang, Chuan Shi, Houye Ji, and Xiaoli Li. 2019. Heterogeneous graph attention networks for semi-supervised short text classification. In Proceedings of the Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP\u201919). 4820\u20134829."},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109872"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/366"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/2039320.2039329"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00035"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531935"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132926"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570432"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219950"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380232"},{"key":"e_1_3_2_30_2","first-page":"1","article-title":"Empirical analysis of session-based recommendation algorithms","author":"Ludewig Malte","year":"2020","unstructured":"Malte Ludewig, Noemi Mauro, Sara Latifi, and Dietmar Jannach. 2020. Empirical analysis of session-based recommendation algorithms. User Model. User-Adapt. Interact. (2020), 1\u201333.","journal-title":"User Model. User-Adapt. Interact."},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3488560.3498505"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.1145\/3473339"},{"key":"e_1_3_2_33_2","first-page":"22:1\u201322:23","article-title":"Exploiting cross-session information for session-based recommendation with graph neural networks","author":"Qiu Ruihong","year":"2020","unstructured":"Ruihong Qiu, Zi Huang, Jingjing Li, and Hongzhi Yin. 2020. Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Trans. Inf. Syst. (2020), 22:1\u201322:23.","journal-title":"ACM Trans. Inf. Syst."},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014806"},{"key":"e_1_3_2_35_2","first-page":"452","volume-title":"Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, (UAI\u201909)","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian personalized ranking from implicit feedback. In Proceedings of the 25th Conference on Uncertainty in Artificial Intelligence, (UAI\u201909). AUAI Press, 452\u2013461."},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/336992.337035"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3523227.3551477"},{"key":"e_1_3_2_39_2","first-page":"1265","article-title":"An MDP-based recommender system","author":"Shani Guy","year":"2005","unstructured":"Guy Shani, David Heckerman, and Ronen I. Brafman. 2005. An MDP-based recommender system. J. Mach. Learn. Res. 6 (2005), 1265\u20131295.","journal-title":"J. Mach. Learn. Res."},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583247"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357895"},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/3437963.3441835"},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159656"},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3109859.3109900"},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.7903\/ijecs.1348"},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052568"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611976700.10"},{"key":"e_1_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331210"},{"key":"e_1_3_2_49_2","first-page":"154:1\u2013154:38","article-title":"A survey on session-based recommender systems","author":"Wang Shoujin","year":"2022","unstructured":"Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, and Defu Lian. 2022. A survey on session-based recommender systems. ACM Comput. Surv. (2022), 154:1\u2013154:38.","journal-title":"ACM Comput. Surv."},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401142"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512085"},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00320"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482388"},{"key":"e_1_3_2_55_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16578"},{"key":"e_1_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.5555\/3367471.3367589"},{"key":"e_1_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583361"},{"key":"e_1_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570445"},{"key":"e_1_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.102936"},{"key":"e_1_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.01.092"},{"key":"e_1_3_2_61_2","article-title":"Beyond co-occurrence: Multi-modal session-based recommendation","author":"Zhang Xiaokun","year":"2023","unstructured":"Xiaokun Zhang, Bo Xu, Fenglong Ma, Chenliang Li, Liang Yang, and Hongfei Lin. 2023. Beyond co-occurrence: Multi-modal session-based recommendation. IEEE Trans. Knowl. Data Eng. (2023).","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"e_1_3_2_62_2","first-page":"1684","volume-title":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR\u201922)","author":"Zhang Xiaokun","year":"2022","unstructured":"Xiaokun Zhang, Bo Xu, Liang Yang, Chenliang Li, Fenglong Ma, Haifeng Liu, and Hongfei Lin. 2022. Price DOES matter! Modeling price and interest preferences in session-based recommendation. In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR\u201922). 1684\u20131693."},{"key":"e_1_3_2_63_2","article-title":"A survey on multi-task learning","author":"Zhang Yu","year":"2021","unstructured":"Yu Zhang and Qiang Yang. 2021. A survey on multi-task learning. IEEE Trans. Knowl. Data Eng. (2021).","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"e_1_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE48307.2020.00019"},{"key":"e_1_3_2_65_2","first-page":"1601","volume-title":"Proceedings of the 20th Annual Conference on Neural Information Processing Systems","author":"Zhou Dengyong","year":"2006","unstructured":"Dengyong Zhou, Jiayuan Huang, and Bernhard Sch\u00f6lkopf. 2006. Learning with hypergraphs: Clustering, classification, and embedding. In Proceedings of the 20th Annual Conference on Neural Information Processing Systems. 1601\u20131608."}],"container-title":["ACM Transactions on Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3631940","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3631940","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T22:51:02Z","timestamp":1750287062000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3631940"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,29]]},"references-count":64,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,5,31]]}},"alternative-id":["10.1145\/3631940"],"URL":"https:\/\/doi.org\/10.1145\/3631940","relation":{},"ISSN":["1046-8188","1558-2868"],"issn-type":[{"value":"1046-8188","type":"print"},{"value":"1558-2868","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,29]]},"assertion":[{"value":"2023-04-05","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-10-24","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-12-29","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}