{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T16:44:00Z","timestamp":1765817040088,"version":"3.48.0"},"reference-count":45,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T00:00:00Z","timestamp":1765756800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62402496"],"award-info":[{"award-number":["62402496"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62402496"],"award-info":[{"award-number":["62402496"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20242084"],"award-info":[{"award-number":["BK20242084"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20242084"],"award-info":[{"award-number":["BK20242084"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Graduate Innovation Program of China University of Mining and Technology","award":["2024WLKXJ187"],"award-info":[{"award-number":["2024WLKXJ187"]}]},{"name":"Graduate Innovation Program of China University of Mining and Technology","award":["2024WLKXJ187"],"award-info":[{"award-number":["2024WLKXJ187"]}]},{"name":"Postgraduate Research & Practice Innovation Program of Jiangsu Province","award":["KYCX24_2784"],"award-info":[{"award-number":["KYCX24_2784"]}]},{"name":"Postgraduate Research & Practice Innovation Program of Jiangsu Province","award":["KYCX24_2784"],"award-info":[{"award-number":["KYCX24_2784"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2026,12]]},"DOI":"10.1007\/s10115-025-02656-3","type":"journal-article","created":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T16:41:21Z","timestamp":1765816881000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Category-aware dual channel graph neural networks for session-based recommendation"],"prefix":"10.1007","volume":"68","author":[{"given":"Rui","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaobin","family":"Rui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhixiao","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,12,15]]},"reference":[{"issue":"5","key":"2656_CR1","doi-asserted-by":"publisher","first-page":"2945","DOI":"10.1007\/s10115-023-02058-3","volume":"66","author":"X Han","year":"2024","unstructured":"Han X, Chen X, Zhao M et al (2024) Session-based recommendation with fusion of hypergraph item global and context features. Knowl Inform Syst 66(5):2945\u20132963","journal-title":"Knowl Inform Syst"},{"key":"2656_CR2","doi-asserted-by":"crossref","unstructured":"Yan M, Xu C, Wang X et al (2025) Conf-GNNRec: quantifying and calibrating the prediction confidence for gnn-based recommendation methods. In: Companion proceedings of the ACM on web conference 2025. pp 1460\u20131464","DOI":"10.1145\/3701716.3715475"},{"key":"2656_CR3","doi-asserted-by":"crossref","unstructured":"Yan M, Huang H, Liu Y et al (2024) Truthsr: trustworthy sequential recommender systems via user-generated multimodal content. In: International conference on database systems for advanced applications. Springer Nature, Singapore, pp 180\u2013195","DOI":"10.1007\/978-981-97-5555-4_12"},{"key":"2656_CR4","doi-asserted-by":"crossref","unstructured":"Guo L, Yin H, Wang Q et al (2019) Streaming session-based recommendation. In: Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining. pp 1569\u20131577","DOI":"10.1145\/3292500.3330839"},{"key":"2656_CR5","doi-asserted-by":"crossref","unstructured":"Vasiloudis T, Vahabi H, Kravitz R et al (2017) Predicting session length in media streaming. In: Proceedings of the 40th international ACM SIGIR conference on research and development in information retrieval. pp 977\u2013980","DOI":"10.1145\/3077136.3080695"},{"key":"2656_CR6","unstructured":"Hidasi B (2015) Session-based recommendations with recurrent neural networks. Preprint at arXiv:1511.06939"},{"key":"2656_CR7","doi-asserted-by":"crossref","unstructured":"Wu S, Tang Y, Zhu Y et al (2019) Session-based recommendation with graph neural networks. In: Proceedings of the AAAI conference on artificial intelligence, vol 33, No. 01. pp 346\u2013353","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"2656_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.109246","volume":"251","author":"H Xu","year":"2022","unstructured":"Xu H, Yang B, Liu X et al (2022) Category-aware multi-relation heterogeneous graph neural networks for session-based recommendation. Knowl-Based Syst 251:109246","journal-title":"Knowl-Based Syst"},{"key":"2656_CR9","doi-asserted-by":"crossref","unstructured":"Sarwar B, Karypis G, Konstan J et al (2001) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th international conference on World Wide Web. pp 285\u2013295","DOI":"10.1145\/371920.372071"},{"issue":"9","key":"2656_CR10","first-page":"1265","volume":"6","author":"G Shani","year":"2005","unstructured":"Shani G, Heckerman D, Brafman RI et al (2005) An MDP-based recommender system. J Mach Learn Res 6(9):1265\u20131295","journal-title":"J Mach Learn Res"},{"key":"2656_CR11","doi-asserted-by":"crossref","unstructured":"Li J, Ren P, Chen Z et al (2017) Neural attentive session-based recommendation. In: Proceedings of the 2017 ACM on conference on information and knowledge management. pp 1419\u20131428","DOI":"10.1145\/3132847.3132926"},{"key":"2656_CR12","doi-asserted-by":"crossref","unstructured":"Xia X, Yin H, Yu J et al (2021) Self-supervised graph co-training for session-based recommendation. In: Proceedings of the 30th ACM international conference on information & knowledge management. pp 2180\u20132190","DOI":"10.1145\/3459637.3482388"},{"key":"2656_CR13","doi-asserted-by":"crossref","unstructured":"Yu F, Zhu Y, Liu Q et al (2020) TAGNN: target attentive graph neural networks for session-based recommendation. In: Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval. pp 1921\u20131924","DOI":"10.1145\/3397271.3401319"},{"issue":"4","key":"2656_CR14","first-page":"1","volume":"40","author":"Z Pan","year":"2021","unstructured":"Pan Z, Cai F, Chen W et al (2021) Graph co-attentive session-based recommendation. ACM Transact Inform Syst (TOIS) 40(4):1\u201331","journal-title":"ACM Transact Inform Syst (TOIS)"},{"key":"2656_CR15","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122907","volume":"243","author":"W Liu","year":"2024","unstructured":"Liu W, Zhang Z, Ding Y et al (2024) Global heterogeneous graph enhanced category-aware attention network for session-based recommendation. Expert Syst Appl 243:122907","journal-title":"Expert Syst Appl"},{"key":"2656_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106558","volume":"212","author":"L Liu","year":"2021","unstructured":"Liu L, Wang L, Lian T (2021) CaSe4SR: using category sequence graph to augment session-based recommendation. Knowl-Based Syst 212:106558","journal-title":"Knowl-Based Syst"},{"key":"2656_CR17","doi-asserted-by":"crossref","unstructured":"Zhang X, Xu B, Yang L et al (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. pp 1684\u20131693","DOI":"10.1145\/3477495.3532043"},{"issue":"1","key":"2656_CR18","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1145\/963770.963776","volume":"22","author":"M Deshpande","year":"2004","unstructured":"Deshpande M, Karypis G (2004) Item-based top-n recommendation algorithms. ACM Transact Inform Syst (TOIS) 22(1):143\u2013177","journal-title":"ACM Transact Inform Syst (TOIS)"},{"key":"2656_CR19","doi-asserted-by":"crossref","unstructured":"Yap GE, Li XL, Yu PS (2012)Effective next-items recommendation via personalized sequential pattern mining. In: Database systems for advanced applications: 17th international conference, DASFAA (2012) Busan, South Korea, 15\u201319 April 2012, Proceedings, Part II 17. Springer, Berlin Heidelberg. pp 48\u201364","DOI":"10.1007\/978-3-642-29035-0_4"},{"key":"2656_CR20","doi-asserted-by":"crossref","unstructured":"Rendle S, Freudenthaler C, Schmidt-Thieme L (2010) Factorizing personalized markov chains for next-basket recommendation. In: Proceedings of the 19th international conference on World wide web. pp 811\u2013820","DOI":"10.1145\/1772690.1772773"},{"key":"2656_CR21","doi-asserted-by":"crossref","unstructured":"Tavakol M, Brefeld U (2014) Factored MDPs for detecting topics of user sessions. In: Proceedings of the 8th ACM conference on recommender systems. pp 33\u201340","DOI":"10.1145\/2645710.2645739"},{"key":"2656_CR22","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1016\/j.knosys.2015.07.039","volume":"88","author":"K Ji","year":"2015","unstructured":"Ji K, Sun R, Shu W et al (2015) Next-song recommendation with temporal dynamics. Knowl-Based Syst 88:134\u2013143","journal-title":"Knowl-Based Syst"},{"key":"2656_CR23","doi-asserted-by":"crossref","unstructured":"Jannach D, Ludewig M (2017) When recurrent neural networks meet the neighborhood for session-based recommendation. In: Proceedings of the eleventh ACM conference on recommender systems. pp 306\u2013310","DOI":"10.1145\/3109859.3109872"},{"key":"2656_CR24","doi-asserted-by":"crossref","unstructured":"Ren P, Chen Z, Li J et al (2019) Repeatnet: a repeat aware neural recommendation machine for session-based recommendation. In: Proceedings of the AAAI conference on artificial intelligence, vol 33 No. 01. pp 4806\u20134813","DOI":"10.1609\/aaai.v33i01.33014806"},{"key":"2656_CR25","doi-asserted-by":"crossref","unstructured":"Hidasi B, Karatzoglou A (2018) Recurrent neural networks with top-k gains for session-based recommendations. In: Proceedings of the 27th ACM international conference on information and knowledge management. pp 843\u2013852","DOI":"10.1145\/3269206.3271761"},{"key":"2656_CR26","doi-asserted-by":"crossref","unstructured":"Quadrana M, Karatzoglou A, Hidasi B et al (2017) Personalizing session-based recommendations with hierarchical recurrent neural networks. In: Proceedings of the eleventh ACM conference on recommender systems. pp 130\u2013137","DOI":"10.1145\/3109859.3109896"},{"key":"2656_CR27","doi-asserted-by":"crossref","unstructured":"Song J, Shen H, Ou Z et al (2019) ISLF: interest shift and latent factors combination model for session-based recommendation. In: IJCAI. pp 5765\u20135771","DOI":"10.24963\/ijcai.2019\/799"},{"key":"2656_CR28","doi-asserted-by":"crossref","unstructured":"Liu Q, Zeng Y, Mokhosi R et al (2018) STAMP: short-term attention\/memory priority model for session-based recommendation. In: Proceedings of the 24th ACM SIGKDD international conference on knowledge discovery & data mining. pp 1831\u20131839","DOI":"10.1145\/3219819.3219950"},{"key":"2656_CR29","doi-asserted-by":"crossref","unstructured":"Wang M, Ren P, Mei L et al (2019) A collaborative session-based recommendation approach with parallel memory modules. In: Proceedings of the 42nd international ACM SIGIR conference on research and development in information retrieval. pp 345\u2013354","DOI":"10.1145\/3331184.3331210"},{"key":"2656_CR30","doi-asserted-by":"crossref","unstructured":"Qiu R, Li J, Huang Z et al (2019) Rethinking the item order in session-based recommendation with graph neural networks. In: Proceedings of the 28th ACM international conference on information and knowledge management. pp 579\u2013588","DOI":"10.1145\/3357384.3358010"},{"key":"2656_CR31","doi-asserted-by":"crossref","unstructured":"Chen T, Wong RCW (2020) Handling information loss of graph neural networks for session-based recommendation. In: Proceedings of the 26th ACM SIGKDD international conference on knowledge discovery & data mining. pp 1172\u20131180","DOI":"10.1145\/3394486.3403170"},{"key":"2656_CR32","first-page":"3940","volume":"19","author":"C Xu","year":"2019","unstructured":"Xu C, Zhao P, Liu Y et al (2019) Graph contextualized self-attention network for session-based recommendation. IJCAI 19:3940\u20133946","journal-title":"IJCAI"},{"key":"2656_CR33","doi-asserted-by":"crossref","unstructured":"Xia X, Yin H, Yu J et al (2021) Self-supervised hypergraph convolutional networks for session-based recommendation. In: Proceedings of the AAAI conference on artificial intelligence, vol 35, No. 5. pp 4503\u20134511","DOI":"10.1609\/aaai.v35i5.16578"},{"key":"2656_CR34","doi-asserted-by":"crossref","unstructured":"Zhou H, Tan Q, Huang X et al (2021) Temporal augmented graph neural networks for session-based recommendations. In: Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval. pp 1798\u20131802","DOI":"10.1145\/3404835.3463112"},{"key":"2656_CR35","doi-asserted-by":"crossref","unstructured":"Yuan J, Song Z, Sun M et al (2021) Dual sparse attention network for session-based recommendation. In: Proceedings of the AAAI conference on artificial intelligence, vol 35, No. 5. pp 4635\u20134643","DOI":"10.1609\/aaai.v35i5.16593"},{"key":"2656_CR36","doi-asserted-by":"crossref","unstructured":"Han Q, Zhang C, Chen R et al (2022) Multi-faceted global item relation learning for session-based recommendation. In: Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval. pp 1705\u20131715","DOI":"10.1145\/3477495.3532024"},{"key":"2656_CR37","doi-asserted-by":"crossref","unstructured":"Li Z, Wang X, Yang C et al (2023) Exploiting explicit and implicit item relationships for session-based recommendation. In: Proceedings of the sixteenth ACM international conference on web search and data mining. pp 553\u2013561","DOI":"10.1145\/3539597.3570432"},{"key":"2656_CR38","doi-asserted-by":"crossref","unstructured":"Qiao S, Zhou W, Wen J et al (2023) Bi-channel multiple sparse graph attention networks for session-based recommendation. In: Proceedings of the 32nd ACM international conference on information and knowledge management. pp 2075\u20132084","DOI":"10.1145\/3583780.3614791"},{"key":"2656_CR39","doi-asserted-by":"crossref","unstructured":"Fang X S, Wu Y, Lu J et al (2024) Intent Enhanced self-supervised hypergraph learning for session-based recommendation. In: Joint European conference on machine learning and knowledge discovery in databases. Springer Nature Switzerland, Cham. pp 83\u201399","DOI":"10.1007\/978-3-031-70381-2_6"},{"key":"2656_CR40","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2023.109911","volume":"145","author":"Z Wang","year":"2024","unstructured":"Wang Z, Wei W, Zou D et al (2024) Exploring global information for session-based recommendation. Pattern Recogn 145:109911","journal-title":"Pattern Recogn"},{"key":"2656_CR41","doi-asserted-by":"crossref","unstructured":"He R, McAuley J (2016) Ups and downs: modeling the visual evolution of fashion trends with one-class collaborative filtering. In: Proceedings of the 25th international conference on world wide web. pp 507\u2013517","DOI":"10.1145\/2872427.2883037"},{"key":"2656_CR42","doi-asserted-by":"crossref","unstructured":"Wang Z, Wei W, Cong G et al (2020) Global context enhanced graph neural networks for session-based recommendation. In: Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval. pp 169\u2013178","DOI":"10.1145\/3397271.3401142"},{"key":"2656_CR43","doi-asserted-by":"crossref","unstructured":"Luo A, Zhao P, Liu Y et al (2020) Collaborative self-attention network for session-based recommendation. In: IJCAI. pp 2591\u20132597","DOI":"10.24963\/ijcai.2020\/359"},{"key":"2656_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106512","volume":"124","author":"X Zhang","year":"2023","unstructured":"Zhang X, Ma H, Yang F et al (2023) KGCL: a knowledge-enhanced graph contrastive learning framework for session-based recommendation. Eng Appl Artif Intell 124:106512","journal-title":"Eng Appl Artif Intell"},{"key":"2656_CR45","doi-asserted-by":"crossref","unstructured":"Wang Z, Chen C, Zhang K et al (2018) Variational recurrent model for session-based recommendation. In: Proceedings of the 27th ACM international conference on information and knowledge management. pp 1839\u20131842","DOI":"10.1145\/3269206.3269302"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-025-02656-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10115-025-02656-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-025-02656-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,15]],"date-time":"2025-12-15T16:41:33Z","timestamp":1765816893000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10115-025-02656-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,15]]},"references-count":45,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,12]]}},"alternative-id":["2656"],"URL":"https:\/\/doi.org\/10.1007\/s10115-025-02656-3","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"value":"0219-1377","type":"print"},{"value":"0219-3116","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12,15]]},"assertion":[{"value":"23 December 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 August 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 September 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"15 December 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that there is no conflict of interest regarding the publication of this article.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"3"}}