{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T20:55:29Z","timestamp":1785876929159,"version":"3.56.0"},"reference-count":40,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100006407","name":"Natural Science Foundation of Henan Province","doi-asserted-by":"publisher","award":["252300420989"],"award-info":[{"award-number":["252300420989"]}],"id":[{"id":"10.13039\/501100006407","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.neucom.2026.134241","type":"journal-article","created":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T20:06:08Z","timestamp":1781208368000},"page":"134241","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["Similarity-aware generalization framework for zero-shot cross-domain sequential recommendation"],"prefix":"10.1016","volume":"698","author":[{"given":"Zihao","family":"Pan","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0629-982X","authenticated-orcid":false,"given":"Yuzhuo","family":"Dang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6070-1592","authenticated-orcid":false,"given":"Xin","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhiqiang","family":"Pan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Taihua","family":"Shao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fei","family":"Cai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.neucom.2026.134241_bib0005","doi-asserted-by":"crossref","DOI":"10.1016\/j.is.2024.102427","article-title":"A survey of sequential recommendation systems: techniques, evaluation, and future directions","volume":"125","author":"Boka","year":"2024","journal-title":"Inf. Syst."},{"issue":"3","key":"10.1016\/j.neucom.2026.134241_bib0010","doi-asserted-by":"crossref","DOI":"10.1007\/s11704-025-41329-w","article-title":"A survey on sequential recommendation","volume":"20","author":"Pan","year":"2026","journal-title":"Front. Comput. Sci."},{"key":"10.1016\/j.neucom.2026.134241_bib0015","series-title":"ICLR (Poster)","article-title":"Session-based recommendations with recurrent neural networks","author":"Hidasi","year":"2016"},{"key":"10.1016\/j.neucom.2026.134241_bib0020","series-title":"WSDM","first-page":"565","article-title":"Personalized top-N sequential recommendation via convolutional sequence embedding","author":"Tang","year":"2018"},{"key":"10.1016\/j.neucom.2026.134241_bib0025","series-title":"ICDM","first-page":"197","article-title":"Self-attentive sequential recommendation","author":"Kang","year":"2018"},{"key":"10.1016\/j.neucom.2026.134241_bib0030","series-title":"CIKM","first-page":"1441","article-title":"BERT4Rec: sequential recommendation with bidirectional encoder representations from transformer","author":"Sun","year":"2019"},{"key":"10.1016\/j.neucom.2026.134241_bib0035","series-title":"IJCAI","first-page":"7989","article-title":"A survey on cross-domain sequential recommendation","author":"Chen","year":"2024"},{"key":"10.1016\/j.neucom.2026.134241_bib0040","series-title":"RecSys","first-page":"237","article-title":"LLM-RecG: a semantic bias-aware framework for zero-shot sequential recommendation","author":"Li","year":"2025"},{"key":"10.1016\/j.neucom.2026.134241_bib0045","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113496","article-title":"Discrepancy learning guided hierarchical fusion network for multi-modal recommendation","volume":"317","author":"Dang","year":"2025","journal-title":"Knowl. Based Syst."},{"key":"10.1016\/j.neucom.2026.134241_bib0050","doi-asserted-by":"crossref","DOI":"10.1016\/j.aei.2026.104462","article-title":"Dual-space feature representation learning network for multimodal recommender systems","volume":"72","author":"Dang","year":"2026","journal-title":"Adv. Eng. Inform."},{"issue":"5","key":"10.1016\/j.neucom.2026.134241_bib0055","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1007\/s11280-024-01291-2","article-title":"A survey on large language models for recommendation","volume":"27","author":"Wu","year":"2024","journal-title":"World Wide Web (WWW)"},{"issue":"11","key":"10.1016\/j.neucom.2026.134241_bib0060","doi-asserted-by":"crossref","first-page":"6889","DOI":"10.1109\/TKDE.2024.3392335","article-title":"Recommender systems in the era of large language models (LLMs)","volume":"36","author":"Zhao","year":"2024","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.134241_bib0065","author":"Wang"},{"key":"10.1016\/j.neucom.2026.134241_bib0070","series-title":"EMNLP","first-page":"10129","article-title":"RecGPT: a foundation model for sequential recommendation","author":"Jiang","year":"2025"},{"key":"10.1016\/j.neucom.2026.134241_bib0075","series-title":"SIGIR","first-page":"685","article-title":"\u03c0-net: a parallel information-sharing network for shared-account cross-domain sequential recommendations","author":"Ma","year":"2019"},{"issue":"4","key":"10.1016\/j.neucom.2026.134241_bib0080","doi-asserted-by":"crossref","first-page":"4106","DOI":"10.1109\/TKDE.2021.3130927","article-title":"Parallel split-join networks for shared account cross-domain sequential recommendations","volume":"35","author":"Sun","year":"2023","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"10.1016\/j.neucom.2026.134241_bib0085","series-title":"CIKM","first-page":"138","article-title":"Contrastive cross-domain sequential recommendation","author":"Cao","year":"2022"},{"key":"10.1016\/j.neucom.2026.134241_bib0090","series-title":"WWW","first-page":"3173","article-title":"Rethinking cross-domain sequential recommendation under open-world assumptions","author":"Xu","year":"2024"},{"key":"10.1016\/j.neucom.2026.134241_bib0095","article-title":"ADR-rec: adaptive disentanglement for cross-domain sequential recommendation with cross attention gating mechanisms","author":"Moon","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.134241_bib0100","author":"Ding"},{"key":"10.1016\/j.neucom.2026.134241_bib0105","series-title":"CIKM","first-page":"474","article-title":"Zero shot on the cold-start problem: model-agnostic interest learning for recommender systems","author":"Feng","year":"2021"},{"key":"10.1016\/j.neucom.2026.134241_bib0110","series-title":"RecSys","first-page":"433","article-title":"A pre-trained zero-shot sequential recommendation framework via popularity dynamics","author":"Wang","year":"2024"},{"key":"10.1016\/j.neucom.2026.134241_bib0115","series-title":"KDD","first-page":"585","article-title":"Towards universal sequence representation learning for recommender systems","author":"Hou","year":"2022"},{"key":"10.1016\/j.neucom.2026.134241_bib0120","series-title":"RecSys","first-page":"299","article-title":"Recommendation as language processing (RLP): a unified pretrain, personalized prompt & predict paradigm (P5)","author":"Geng","year":"2022"},{"key":"10.1016\/j.neucom.2026.134241_bib0125","series-title":"ICDM","first-page":"888","article-title":"SCRIPT: sequential cross-meta-information recommendation in pretrain and prompt paradigm","author":"Zhou","year":"2023"},{"key":"10.1016\/j.neucom.2026.134241_bib0130","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.131354","article-title":"Triple contrastive learning framework for domain-level zero-shot recommendation","volume":"654","author":"Zhou","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.134241_bib0135","series-title":"RecSys","first-page":"1007","article-title":"TALLRec: an effective and efficient tuning framework to align large language model with recommendation","author":"Bao","year":"2023"},{"key":"10.1016\/j.neucom.2026.134241_bib0140","series-title":"ECIR (3), Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"494","DOI":"10.1007\/978-3-031-56063-7_42","article-title":"GenRec: large language model for generative recommendation","author":"Ji","year":"2024"},{"key":"10.1016\/j.neucom.2026.134241_bib0145","author":"Yue"},{"key":"10.1016\/j.neucom.2026.134241_bib0150","series-title":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","first-page":"720","article-title":"Large language models as zero-shot conversational recommenders","author":"He","year":"2023"},{"key":"10.1016\/j.neucom.2026.134241_bib0155","series-title":"RecSys","first-page":"1096","article-title":"Leveraging large language models for sequential recommendation","author":"Harte","year":"2023"},{"key":"10.1016\/j.neucom.2026.134241_bib0160","series-title":"NeurIPS","article-title":"LLM-ESR: large language models enhancement for long-tailed sequential recommendation","author":"Liu","year":"2024"},{"key":"10.1016\/j.neucom.2026.134241_bib0165","doi-asserted-by":"crossref","DOI":"10.1016\/j.neucom.2025.130753","article-title":"Recommendation systems with LLM-based semantic embeddings and FAISS similarity search","volume":"649","author":"Safar","year":"2025","journal-title":"Neurocomputing"},{"key":"10.1016\/j.neucom.2026.134241_bib0170","series-title":"RecSys","first-page":"53","article-title":"The elephant in the room: rethinking the usage of pre-trained language model in sequential recommendation","author":"Qu","year":"2024"},{"key":"10.1016\/j.neucom.2026.134241_bib0175","author":"Hou"},{"key":"10.1016\/j.neucom.2026.134241_bib0180","series-title":"CIKM","first-page":"998","article-title":"Extracting attentive social temporal excitation for sequential recommendation","author":"Li","year":"2021"},{"key":"10.1016\/j.neucom.2026.134241_bib0185","series-title":"ICDM","first-page":"191","article-title":"Fusing similarity models with Markov chains for sparse sequential recommendation","author":"He","year":"2016"},{"key":"10.1016\/j.neucom.2026.134241_bib0190","series-title":"WWW","first-page":"811","article-title":"Factorizing personalized Markov chains for next-basket recommendation","author":"Rendle","year":"2010"},{"key":"10.1016\/j.neucom.2026.134241_bib0195","author":"BehnamGhader"},{"key":"10.1016\/j.neucom.2026.134241_bib0200","author":"Team"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226016395?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231226016395?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,8,4]],"date-time":"2026-08-04T20:42:33Z","timestamp":1785876153000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231226016395"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":40,"alternative-id":["S0925231226016395"],"URL":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134241","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"Similarity-aware generalization framework for zero-shot cross-domain sequential recommendation","name":"articletitle","label":"Article Title"},{"value":"Neurocomputing","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.neucom.2026.134241","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"134241"}}