{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T05:58:35Z","timestamp":1767938315595,"version":"3.49.0"},"reference-count":15,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T00:00:00Z","timestamp":1767916800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100014761","name":"Qingdao Natural Science Foundation","doi-asserted-by":"crossref","award":["25-1-1-26-zyyd-jch"],"award-info":[{"award-number":["25-1-1-26-zyyd-jch"]}],"id":[{"id":"10.13039\/501100014761","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Advanced Talents Foundation of QAU","award":["6631120057"],"award-info":[{"award-number":["6631120057"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Supercomput"],"DOI":"10.1007\/s11227-025-08183-w","type":"journal-article","created":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T04:10:54Z","timestamp":1767931854000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Research on precision recommendation algorithm based on the integration of deep learning and self-attention mechanism"],"prefix":"10.1007","volume":"82","author":[{"given":"Wenxin","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongjian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuo","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenbin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,1,9]]},"reference":[{"issue":"1","key":"8183_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3285029","volume":"52","author":"S Zhang","year":"2019","unstructured":"Zhang S, Yao L, Sun A et al (2019) Deep learning based recommender system: A survey and new perspectives. ACM Comput Surv 52(1):1\u201338. https:\/\/doi.org\/10.1145\/3285029","journal-title":"ACM Comput Surv"},{"issue":"4","key":"8183_CR2","doi-asserted-by":"publisher","first-page":"3279","DOI":"10.1109\/TKDE.2021.3126456","volume":"35","author":"G Brauwers","year":"2023","unstructured":"Brauwers G, Frasincar F (2023) A general survey on attention mechanisms in deep learning. IEEE Trans Knowl Data Eng 35(4):3279\u20133298. https:\/\/doi.org\/10.1109\/TKDE.2021.3126456","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"8183_CR3","unstructured":"Vaswani A, Shazeer N, Parmar N, et\u00a0al (2023) Attention is all you need. https:\/\/arxiv.org\/abs\/1706.03762, arXiv:1706.03762"},{"key":"8183_CR4","unstructured":"Zhao J, Huang F, Lv J, et\u00a0al (2020) Do RNN and LSTM have long memory? In: proceedings of the 37th international conference on machine learning (ICML), 119. PMLR, 11365\u201311375, https:\/\/proceedings.mlr.press\/v119\/zhao20c.html"},{"key":"8183_CR5","doi-asserted-by":"publisher","unstructured":"Kang WC, McAuley J (2018) Self-attentive sequential recommendation. In: 2018 IEEE International Conference on Data Mining (ICDM), pp 197\u2013206, https:\/\/doi.org\/10.1109\/ICDM.2018.00035","DOI":"10.1109\/ICDM.2018.00035"},{"key":"8183_CR6","doi-asserted-by":"publisher","unstructured":"Sarwar B, Karypis G, Konstan J, et\u00a0al (2001) Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International Conference on World Wide Web (WWW). ACM, New York, NY, USA, 285\u2013295, https:\/\/doi.org\/10.1145\/371920.372071","DOI":"10.1145\/371920.372071"},{"key":"8183_CR7","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1007\/s11257-019-09231-w","volume":"29","author":"P Lops","year":"2019","unstructured":"Lops P, Jannach D, Musto C et al (2019) Trends in content-based recommendation. User Model User-Adap Inter 29:239\u2013249. https:\/\/doi.org\/10.1007\/s11257-019-09231-w","journal-title":"User Model User-Adap Inter"},{"key":"8183_CR8","doi-asserted-by":"crossref","unstructured":"Guo H, Tang R, Ye Y, et\u00a0al (2017) DeepFM: A factorization-machine based neural network for CTR prediction. https:\/\/arxiv.org\/abs\/1703.04247, arXiv:1703.04247","DOI":"10.24963\/ijcai.2017\/239"},{"key":"8183_CR9","doi-asserted-by":"publisher","unstructured":"He X, Liao L, Zhang H, et\u00a0al (2017) Neural collaborative filtering. In: Proceedings of the 26th International Conference on World Wide Web (WWW), 173\u2013182, https:\/\/doi.org\/10.1145\/3038912.3052569","DOI":"10.1145\/3038912.3052569"},{"key":"8183_CR10","doi-asserted-by":"publisher","unstructured":"Sun F, Liu J, Wu J, et\u00a0al (2019) BERT4Rec: Sequential recommendation with bidirectional encoder representations from transformer. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM). ACM, New York, NY, USA, 1441\u20131450, https:\/\/doi.org\/10.1145\/3357384.3357895","DOI":"10.1145\/3357384.3357895"},{"key":"8183_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109894","volume":"133","author":"Y Zhang","year":"2023","unstructured":"Zhang Y, Yang B, Liu H et al (2023) A time-aware self-attention based neural network model for sequential recommendation. Appl Soft Comput 133:109894. https:\/\/doi.org\/10.1016\/j.asoc.2022.109894","journal-title":"Appl Soft Comput"},{"key":"8183_CR12","doi-asserted-by":"publisher","unstructured":"Yu J, Wang Y, Zhong Q, et\u00a0al (2021) MOOCCubeX: A large knowledge-centered repository for adaptive learning in MOOCs. In: Proceedings of the 30th ACM International Conference on Information and Knowledge Management (CIKM). ACM, New York, NY, USA, 4643\u20134652, https:\/\/doi.org\/10.1145\/3459637.3482010","DOI":"10.1145\/3459637.3482010"},{"key":"8183_CR13","doi-asserted-by":"publisher","unstructured":"Koren Y (2008) Factorization meets the neighborhood: A multifaceted collaborative filtering model. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). ACM, New York, NY, USA, 426\u2013434, https:\/\/doi.org\/10.1145\/1401890.1401944","DOI":"10.1145\/1401890.1401944"},{"key":"8183_CR14","doi-asserted-by":"publisher","unstructured":"Tang J, Wang K (2018) Personalized top-N sequential recommendation via convolutional sequence embedding. In: Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM). ACM, New York, NY, USA, 565\u2013573, https:\/\/doi.org\/10.1145\/3159652.3159656","DOI":"10.1145\/3159652.3159656"},{"key":"8183_CR15","unstructured":"Hidasi B (2015) Session-based recommendations with recurrent neural networks. https:\/\/arxiv.org\/abs\/1511.06939, arXiv:1511.06939"}],"container-title":["The Journal of Supercomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-025-08183-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11227-025-08183-w","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11227-025-08183-w.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T04:10:59Z","timestamp":1767931859000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11227-025-08183-w"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,9]]},"references-count":15,"journal-issue":{"issue":"2","published-online":{"date-parts":[[2026,1]]}},"alternative-id":["8183"],"URL":"https:\/\/doi.org\/10.1007\/s11227-025-08183-w","relation":{},"ISSN":["1573-0484"],"issn-type":[{"value":"1573-0484","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,9]]},"assertion":[{"value":"20 January 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"19 December 2025","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 January 2026","order":3,"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 no Conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"54"}}