{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T13:33:07Z","timestamp":1775309587765,"version":"3.50.1"},"reference-count":34,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62277016"],"award-info":[{"award-number":["62277016"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Expert Systems with Applications"],"published-print":{"date-parts":[[2026,5]]},"DOI":"10.1016\/j.eswa.2026.131219","type":"journal-article","created":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T07:43:20Z","timestamp":1768895000000},"page":"131219","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["M2GRec: An efficient sequential recommendation model combining mamba and multi-task graph learning"],"prefix":"10.1016","volume":"310","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3034-5467","authenticated-orcid":false,"given":"Ruiqin","family":"Wang","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0002-2241-0441","authenticated-orcid":false,"given":"Yifan","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0009-0005-3009-9755","authenticated-orcid":false,"given":"Wanshu","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1218-2804","authenticated-orcid":false,"given":"Ming","family":"Li","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.eswa.2026.131219_bib0001","doi-asserted-by":"crossref","DOI":"10.1016\/j.eswa.2020.113790","article-title":"Deep learning in citation recommendation models survey","volume":"162","author":"Ali","year":"2020","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.131219_bib0002","series-title":"Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR \u201921)","first-page":"378","article-title":"Sequential recommendation with graph neural networks","author":"Chang","year":"2021"},{"key":"10.1016\/j.eswa.2026.131219_bib0003","article-title":"CDMR2F: Correlation-guided denoising multimodal robust fusion framework for multimodal recommendation","volume":"302","author":"Cheng","year":"2025","journal-title":"Expert Systems with Applications"},{"key":"10.1016\/j.eswa.2026.131219_bib0004","series-title":"Advances in information retrieval: Proceedings of the 45th European conference on information retrieval (ECIR 2023)","first-page":"249","article-title":"Item graph convolutional collaborative filtering for inductive recommendations","volume":"vol. 13980","author":"D\u2019Amico","year":"2023"},{"key":"10.1016\/j.eswa.2026.131219_bib0005","series-title":"Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval (SIGIR \u201923)","first-page":"78","article-title":"Frequency enhanced hybrid attention network for sequential recommendation","author":"Du","year":"2023"},{"issue":"1","key":"10.1016\/j.eswa.2026.131219_bib0006","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3426723","article-title":"Deep learning for sequential recommendation: Algorithms, influential factors, and evaluations","volume":"39","author":"Fang","year":"2020","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"key":"10.1016\/j.eswa.2026.131219_bib0007","series-title":"Proceedings of the 43rd ACM SIGIR conference on research and development in information retrieval (SIGIR \u201920)","first-page":"639","article-title":"LightGCN: Simplifying and powering graph convolution network for recommendation","author":"He","year":"2020"},{"issue":"9","key":"10.1016\/j.eswa.2026.131219_bib0008","doi-asserted-by":"crossref","first-page":"1748","DOI":"10.3390\/electronics14091748","article-title":"Its-Rec: A sequential recommendation model using item textual information","volume":"14","author":"Jang","year":"2025","journal-title":"Electronics"},{"key":"10.1016\/j.eswa.2026.131219_bib0009","series-title":"Proceedings of the international conference on learning representations (ICLR)","article-title":"Categorical reparameterization with gumbel-softmax","author":"Jang","year":"2017"},{"key":"10.1016\/j.eswa.2026.131219_bib0010","series-title":"Proceedings of the 2018 IEEE International conference on data mining (ICDM \u201918)","first-page":"197","article-title":"Self-attentive sequential recommendation","author":"Kang","year":"2018"},{"key":"10.1016\/j.eswa.2026.131219_bib0011","series-title":"Proceedings of the conference on lifelong learning agents","first-page":"513","article-title":"Fixed design analysis of regularization-based continual learning","author":"Li","year":"2023"},{"issue":"24","key":"10.1016\/j.eswa.2026.131219_bib0012","doi-asserted-by":"crossref","DOI":"10.3390\/app132413031","article-title":"A session-based recommendation model that integrates the temporal sequence of session interactions and the global distance-awareness of items with graph neural networks","volume":"13","author":"Li","year":"2023","journal-title":"Applied Sciences"},{"key":"10.1016\/j.eswa.2026.131219_bib0013","unstructured":"Liu, C., Lin, J., Wang, J., Liu, H., & Caverlee, J. (2024). Mamba4rec: Towards efficient sequential recommendation with selective state space models. arXiv: 2403.03900."},{"key":"10.1016\/j.eswa.2026.131219_bib0014","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"12264","article-title":"Sigma: Selective gated mamba for sequential recommendation","volume":"vol. 39","author":"Liu","year":"2025"},{"key":"10.1016\/j.eswa.2026.131219_bib0015","series-title":"Proceedings of the ACM web conference 2023 (WWW \u201923)","first-page":"1273","article-title":"Multi-task recommendations with reinforcement learning","author":"Liu","year":"2023"},{"key":"10.1016\/j.eswa.2026.131219_bib0016","series-title":"Proceedings of the 15th ACM international conference on web search and data mining (WSDM \u201922)","first-page":"1141","article-title":"Duorec: Mitigating representation degeneration for collaborative sequential recommendation","author":"Qiu","year":"2022"},{"key":"10.1016\/j.eswa.2026.131219_bib0017","series-title":"Proceedings of the 28th ACM international conference on information and knowledge management (CIKM \u201919)","first-page":"1441","article-title":"Bert4rec: Sequential recommendation with bidirectional encoder representations from transformer","author":"Sun","year":"2019"},{"key":"10.1016\/j.eswa.2026.131219_bib0018","series-title":"Proceedings of the 14th ACM international conference on web search and data mining (WSDM \u201921)","first-page":"598","article-title":"Sparse-interest network for sequential recommendation","author":"Tan","year":"2021"},{"issue":"4","key":"10.1016\/j.eswa.2026.131219_bib0019","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3710898","article-title":"Improved paper recommendation model incorporating knowledge graph embedding with IRGAN model","volume":"3","author":"Thierry","year":"2025","journal-title":"ACM Transactions on Recommender Systems"},{"key":"10.1016\/j.eswa.2026.131219_bib0020","series-title":"Advances in neural information processing systems (neurIPS \u201917)","first-page":"5998","article-title":"Attention is all you need","volume":"vol. 30","author":"Vaswani","year":"2017"},{"issue":"1","key":"10.1016\/j.eswa.2026.131219_bib0021","first-page":"1","article-title":"Sequential recommendation with multiple contrast signals","volume":"41","author":"Wang","year":"2023","journal-title":"ACM Transactions on Information Systems"},{"key":"10.1016\/j.eswa.2026.131219_bib0022","series-title":"Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval (SIGIR \u201920)","first-page":"169","article-title":"Global context enhanced graph neural networks for session-based recommendation","author":"Wang","year":"2020"},{"key":"10.1016\/j.eswa.2026.131219_bib0023","series-title":"Proceedings of the 2019 AAAI conference on artificial intelligence (AAAI \u201919)","first-page":"346","article-title":"Session-based recommendation with graph neural networks","author":"Wu","year":"2019"},{"key":"10.1016\/j.eswa.2026.131219_bib0024","series-title":"Proceedings of the AAAI conference on artificial intelligence","first-page":"4503","article-title":"Self-supervised hypergraph convolutional networks for session-based recommendation","volume":"vol. 35","author":"Xia","year":"2021"},{"key":"10.1016\/j.eswa.2026.131219_bib0025","series-title":"Proceedings of the 44th international ACM SIGIR conference on research and development in information retrieval (SIGIR \u201921)","article-title":"Contrastive learning for sequential recommendation","author":"Xie","year":"2021"},{"key":"10.1016\/j.eswa.2026.131219_bib0026","series-title":"Proceedings of the 30th ACM international conference on information and knowledge management (CIKM \u201921)","first-page":"4084","article-title":"Contrastive learning for sequential recommendation","author":"Xie","year":"2021"},{"key":"10.1016\/j.eswa.2026.131219_bib0027","series-title":"Proceedings of the 45th international ACM SIGIR conference on research and development in information retrieval","first-page":"1434","article-title":"Knowledge graph contrastive learning for recommendation","author":"Yang","year":"2022"},{"key":"10.1016\/j.eswa.2026.131219_bib0028","series-title":"Proceedings of the 46th international ACM SIGIR conference on research and development in information retrieval (SIGIR \u201923)","first-page":"321","article-title":"Graph masked autoencoder for sequential recommendation","author":"Ye","year":"2023"},{"key":"10.1016\/j.eswa.2026.131219_bib0029","series-title":"Proceedings of the 32nd ACM international conference on information and knowledge management (CIKM \u201923)","first-page":"3083","article-title":"Causality-guided graph learning for session-based recommendation","author":"Yu","year":"2023"},{"key":"10.1016\/j.eswa.2026.131219_bib0030","series-title":"Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining (KDD \u201922)","first-page":"4510","article-title":"Multi-task fusion via reinforcement learning for long-term user satisfaction in recommender systems","author":"Zhang","year":"2022"},{"key":"10.1016\/j.eswa.2026.131219_bib0031","series-title":"Proceedings of the 32nd ACM international conference on information and knowledge management (CIKM \u201923)","first-page":"4410","article-title":"IA-GCN: Interactive graph convolutional network for recommendation","author":"Zhang","year":"2023"},{"key":"10.1016\/j.eswa.2026.131219_bib0032","series-title":"Proceedings of the 29th ACM SIGKDD international conference on knowledge discovery & data mining (KDD \u201923)","first-page":"3434","article-title":"Adaptive disentangled transformer for sequential recommendation","author":"Zhang","year":"2023"},{"key":"10.1016\/j.eswa.2026.131219_bib0033","series-title":"Proceedings of the AAAI conference on artificial intelligence (AAAI \u201921)","first-page":"4706","article-title":"Cold-start sequential recommendation via meta learner","volume":"vol. 35","author":"Zheng","year":"2021"},{"key":"10.1016\/j.eswa.2026.131219_bib0034","series-title":"Proceedings of the 29th ACM international conference on information and knowledge management (CIKM \u201920)","first-page":"1893","article-title":"S3-rec: Self-supervised learning for sequential recommendation with mutual information maximization","author":"Zhou","year":"2020"}],"container-title":["Expert Systems with Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426001338?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0957417426001338?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T12:42:39Z","timestamp":1775306559000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0957417426001338"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":34,"alternative-id":["S0957417426001338"],"URL":"https:\/\/doi.org\/10.1016\/j.eswa.2026.131219","relation":{},"ISSN":["0957-4174"],"issn-type":[{"value":"0957-4174","type":"print"}],"subject":[],"published":{"date-parts":[[2026,5]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"M2GRec: An efficient sequential recommendation model combining mamba and multi-task graph learning","name":"articletitle","label":"Article Title"},{"value":"Expert Systems with Applications","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.eswa.2026.131219","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"131219"}}