{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T09:39:49Z","timestamp":1777023589683,"version":"3.51.4"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:00:00Z","timestamp":1776988800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T00:00:00Z","timestamp":1776988800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"the Humanity and Social Science Youth foundation of Ministry of Education of China","award":["24YJCZH149"],"award-info":[{"award-number":["24YJCZH149"]}]},{"name":"the Qingdao Postdoctoral Science Foundation","award":["QDBSH20230202038"],"award-info":[{"award-number":["QDBSH20230202038"]}]},{"name":"the Open Research Foundation of Guangxi Key Lab of Human-machine Interaction and Intelligent Decision","award":["GXHIID2205"],"award-info":[{"award-number":["GXHIID2205"]}]},{"name":"the High-level Research Project Cultivation Fund for Shandong Women\u2019s University","award":["2020GSPSJ01"],"award-info":[{"award-number":["2020GSPSJ01"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. & Cyber."],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1007\/s13042-026-03109-1","type":"journal-article","created":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T08:44:39Z","timestamp":1777020279000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Personalized news recommendation with multi-granularity candidate-aware user modeling"],"prefix":"10.1007","volume":"17","author":[{"given":"Qiang","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinze","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shenghao","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangju","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yong","family":"Si","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shizhen","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,4,24]]},"reference":[{"key":"3109_CR1","doi-asserted-by":"crossref","unstructured":"Wang H, Zhang F, Xie X, Guo M (2018) DKN: deep knowledge-aware network for news recommendation. In: Proceedings of the 2018 World Wide Web Conference on World Wide Web, WWW 2018, pp. 1835\u20131844","DOI":"10.1145\/3178876.3186175"},{"key":"3109_CR2","doi-asserted-by":"crossref","unstructured":"Lian J, Zhang F, Xie X, Sun G (2018) Towards better representation learning for personalized news recommendation: a multi-channel deep fusion approach. In: Lang, J. (ed.) Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, pp. 3805\u20133811","DOI":"10.24963\/ijcai.2018\/529"},{"key":"3109_CR3","doi-asserted-by":"crossref","unstructured":"An M, Wu F, Wu C, Zhang K, Liu Z, Xie X (2019) Neural news recommendation with long- and short-term user representations. In: Proceedings of the 57th Conference of the Association for Computational Linguistics, ACL 2019, pp. 336\u2013345","DOI":"10.18653\/v1\/P19-1033"},{"key":"3109_CR4","doi-asserted-by":"crossref","unstructured":"Qi T, Wu F, Wu C, Yang P, Yu Y, Xie X, Huang Y (2021) Hierec: Hierarchical user interest modeling for personalized news recommendation. In: Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics, ACL 2021, pp. 5446\u20135456","DOI":"10.18653\/v1\/2021.acl-long.423"},{"key":"3109_CR5","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.neucom.2022.04.073","volume":"494","author":"P Zhu","year":"2022","unstructured":"Zhu P, Cheng D, Luo S, Yang F, Luo Y, Qian W, Zhou A (2022) Si-news: integrating social information for news recommendation with attention-based graph convolutional network. Neurocomputing 494:33\u201342","journal-title":"Neurocomputing"},{"issue":"2","key":"3109_CR6","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1007\/s11280-022-01059-6","volume":"26","author":"DH Tran","year":"2023","unstructured":"Tran DH, Sheng QZ, Zhang WE, Tran NH, Khoa NLD (2023) Cupmar: a deep learning model for personalized news recommendation based on contextual user-profile and multi-aspect article representation. World Wide Web (WWW) 26(2):713\u2013732","journal-title":"World Wide Web (WWW)"},{"key":"3109_CR7","doi-asserted-by":"crossref","unstructured":"Wang R, Wang S, Lu W, Peng X, Zhang W, Zheng C, Qiao X (2023) Intention-aware user modeling for personalized news recommendation. In: Database Systems for Advanced Applications - 28th International Conference, DASFAA 2023 13944:179\u2013194","DOI":"10.1007\/978-3-031-30672-3_12"},{"issue":"1","key":"3109_CR8","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1145\/3584946","volume":"42","author":"H Xu","year":"2024","unstructured":"Xu H, Peng Q, Liu H, Sun Y, Wang W (2024) Group-based personalized news recommendation with long- and short-term fine-grained matching. ACM Trans Inform Syst 42(1):3\u20131327","journal-title":"ACM Trans Inform Syst"},{"key":"3109_CR9","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1016\/j.neucom.2021.10.049","volume":"469","author":"J Huang","year":"2022","unstructured":"Huang J, Han Z, Xu H, Liu H (2022) Adapted transformer network for news recommendation. Neurocomputing 469:119\u2013129","journal-title":"Neurocomputing"},{"key":"3109_CR10","doi-asserted-by":"crossref","unstructured":"Okura S, Tagami Y, Ono S, Tajima A (2017) Embedding-based news recommendation for millions of users. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, pp. 1933\u20131942","DOI":"10.1145\/3097983.3098108"},{"key":"3109_CR11","doi-asserted-by":"crossref","unstructured":"Wu C, Wu F, Ge S, Qi T, Huang Y, Xie X (2019) Neural news recommendation with multi-head self-attention. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing, EMNLP 2019, pp. 6388\u20136393","DOI":"10.18653\/v1\/D19-1671"},{"key":"3109_CR12","doi-asserted-by":"crossref","unstructured":"Wu C, Wu F, An M, Huang J, Huang Y, Xie X (2019) NPA: neural news recommendation with personalized attention. In: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, pp. 2576\u20132584","DOI":"10.1145\/3292500.3330665"},{"key":"3109_CR13","doi-asserted-by":"crossref","unstructured":"Qi T, Wu F, Wu C, Huang Y (2022) News recommendation with candidate-aware user modeling. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1917\u20131921","DOI":"10.1145\/3477495.3531778"},{"key":"3109_CR14","doi-asserted-by":"crossref","unstructured":"Wang H, Wu F, Liu Z, Xie X (2020) Fine-grained interest matching for neural news recommendation. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, pp. 836\u2013845","DOI":"10.18653\/v1\/2020.acl-main.77"},{"key":"3109_CR15","doi-asserted-by":"crossref","unstructured":"Liu D, Lian J, Wang S, Qiao Y, Chen J, Sun G, Xie X (2020) KRED: knowledge-aware document representation for news recommendations. In: RecSys 2020: Fourteenth ACM Conference on Recommender Systems, pp. 200\u2013209","DOI":"10.1145\/3383313.3412237"},{"key":"3109_CR16","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1016\/j.knosys.2018.12.022","volume":"166","author":"J Zhao","year":"2019","unstructured":"Zhao J, Geng X, Zhou J, Sun Q, Xiao Y, Zhang Z, Fu Z (2019) Attribute mapping and autoencoder neural network based matrix factorization initialization for recommendation systems. Knowl Based Syst 166:132\u2013139","journal-title":"Knowl Based Syst"},{"key":"3109_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2023.127219","volume":"574","author":"C Chen","year":"2024","unstructured":"Chen C, Liu H, Liu Z, Liu X, Dou D (2024) Dual-space hierarchical learning for goal-guided conversational recommendation. Neurocomputing 574:127219","journal-title":"Neurocomputing"},{"issue":"2","key":"3109_CR18","doi-asserted-by":"publisher","first-page":"171","DOI":"10.2478\/jaiscr-2024-0010","volume":"14","author":"H Vaghari","year":"2024","unstructured":"Vaghari H, Aghdam MH, Emami H (2024) Diarec: dynamic intention-aware recommendation with attention-based context-aware item attributes modeling. J Artif Intell Soft Comput Res 14(2):171\u2013189","journal-title":"J Artif Intell Soft Comput Res"},{"issue":"14","key":"3109_CR19","doi-asserted-by":"publisher","first-page":"1172","DOI":"10.1007\/s11760-025-04765-6","volume":"19","author":"H Vaghari","year":"2025","unstructured":"Vaghari H, Aghdam MH, Emami H (2025) Context-aware recommendation using hierarchical attention and positional encoding based on multiple item attributes (cara). SIViP 19(14):1172","journal-title":"SIViP"},{"key":"3109_CR20","doi-asserted-by":"publisher","first-page":"49030","DOI":"10.1109\/ACCESS.2025.3551402","volume":"13","author":"H Vaghari","year":"2025","unstructured":"Vaghari H, Aghdam MH, Emami H (2025) HAN: hierarchical attention network for learning latent context-aware user preferences with attribute awareness. IEEE Access 13:49030\u201349049","journal-title":"IEEE Access"},{"key":"3109_CR21","doi-asserted-by":"crossref","unstructured":"Kompan M, Bielikov\u00e1 M (2010) Content-based news recommendation. In: E-Commerce and Web Technologies, 11th International Conference. Lecture Notes in Business Information Processing, 61:61\u201372","DOI":"10.1007\/978-3-642-15208-5_6"},{"key":"3109_CR22","doi-asserted-by":"crossref","unstructured":"Li L, Chu W, Langford J, Schapire RE (2010) A contextual-bandit approach to personalized news article recommendation. In: Proceedings of the 19th International Conference on World Wide Web, WWW 2010, pp. 661\u2013670","DOI":"10.1145\/1772690.1772758"},{"key":"3109_CR23","doi-asserted-by":"crossref","unstructured":"Das A, Datar M, Garg A, Rajaram S (2007) Google news personalization: scalable online collaborative filtering. In: Proceedings of the 16th International Conference on World Wide Web, WWW 2007, pp. 271\u2013280","DOI":"10.1145\/1242572.1242610"},{"key":"3109_CR24","doi-asserted-by":"crossref","unstructured":"Song K, Wang D, Feng S, Zhang Y, Qu W, Yu G (2014) CTROF: A collaborative tweet ranking framework for online personalized recommendation. In: Advances in Knowledge Discovery and Data Mining - 18th Pacific-Asia Conference, PAKDD 2014, vol. 8444, pp. 1\u201312","DOI":"10.1007\/978-3-319-06605-9_1"},{"key":"3109_CR25","doi-asserted-by":"crossref","unstructured":"Marlin BM, Zemel RS (2004) The multiple multiplicative factor model for collaborative filtering. In: Machine Learning, Proceedings of the Twenty-first International Conference, ICML 2004. ACM International Conference Proceeding Series, vol. 69","DOI":"10.1145\/1015330.1015437"},{"key":"3109_CR26","doi-asserted-by":"crossref","unstructured":"Li L, Wang D, Li T, Knox D, Padmanabhan B (2011) SCENE: a scalable two-stage personalized news recommendation system. In: Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2011, pp. 125\u2013134","DOI":"10.1145\/2009916.2009937"},{"key":"3109_CR27","doi-asserted-by":"crossref","unstructured":"Morales GDF, Gionis A, Lucchese C (2012) From chatter to headlines: harnessing the real-time web for personalized news recommendation. In: Proceedings of the Fifth International Conference on Web Search and Web Data Mining, WSDM 2012, pp. 153\u2013162","DOI":"10.1145\/2124295.2124315"},{"key":"3109_CR28","unstructured":"Velickovic P, Cucurull G, Casanova A, Romero A, Li\u00f2 P, Bengio Y (2018) Graph attention networks. In: Proceedings of the 6th International Conference on Learning Representations, ICLR"},{"key":"3109_CR29","unstructured":"Vaswani A, Shazeer N, Parmar N, Uszkoreit J, Jones L, Gomez AN, Kaiser L, Polosukhin I (2017) Attention is all you need. In: Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, pp. 5998\u20136008"},{"key":"3109_CR30","unstructured":"Wu C, Wu F, Qi T, Huang Y, Xie X (2021) Fastformer: Additive attention can be all you need. CoRR abs\/2108.09084"},{"issue":"9","key":"3109_CR31","first-page":"4332","volume":"33","author":"F Huang","year":"2022","unstructured":"Huang F, Li X, Yuan C, Zhang S, Zhang J, Qiao S (2022) Attention-emotion-enhanced convolutional LSTM for sentiment analysis. IEEE Trans Neural Networks 33(9):4332\u20134345","journal-title":"IEEE Trans Neural Networks"},{"issue":"7","key":"3109_CR32","doi-asserted-by":"publisher","first-page":"7723","DOI":"10.1007\/s10489-021-02817-1","volume":"52","author":"F Huang","year":"2022","unstructured":"Huang F, Yuan C, Bi Y, Lu J, Lu L, Wang X (2022) Multi-granular document-level sentiment topic analysis for online reviews. Appl Intell 52(7):7723\u20137733","journal-title":"Appl Intell"},{"key":"3109_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.119457","volume":"216","author":"Y Wang","year":"2023","unstructured":"Wang Y, Gao M, Ran X, Ma J, Zhang LY (2023) An improved matrix factorization with local differential privacy based on piecewise mechanism for recommendation systems. Expert Syst Appl 216:119457","journal-title":"Expert Syst Appl"},{"key":"3109_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.121188","volume":"236","author":"S Bansal","year":"2024","unstructured":"Bansal S, Gowda K, Kumar N (2024) Multilingual personalized hashtag recommendation for low resource indic languages using graph-based deep neural network. Expert Syst Appl 236:121188","journal-title":"Expert Syst Appl"},{"key":"3109_CR35","doi-asserted-by":"publisher","unstructured":"Schmidhuber J (2015) Deep learning in neural networks: An overview. Neural Networks 61, 85\u2013117 https:\/\/doi.org\/10.1016\/J.NEUNET.2014.09.003","DOI":"10.1016\/J.NEUNET.2014.09.003"},{"key":"3109_CR36","doi-asserted-by":"crossref","unstructured":"Xue R, Ong T, Demir E (2024) Do ceo and chairman characteristics affect green innovation? evidence from a comparative analysis of machine learning models. Environment, Development and Sustainability, 1\u201328","DOI":"10.1007\/s10668-024-05202-3"},{"key":"3109_CR37","doi-asserted-by":"publisher","first-page":"276","DOI":"10.1016\/j.renene.2021.02.166","volume":"172","author":"A Mellit","year":"2021","unstructured":"Mellit A, Pavan A, Lughi V (2021) Deep learning neural networks for short-term photovoltaic power forecasting. Renewable Energy 172:276\u2013288","journal-title":"Renewable Energy"},{"key":"3109_CR38","doi-asserted-by":"crossref","unstructured":"Qi T, Wu F, Wu C, Huang Y (2022) FUM: fine-grained and fast user modeling for news recommendation. In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1974\u20131978","DOI":"10.1145\/3477495.3531790"},{"key":"3109_CR39","doi-asserted-by":"crossref","unstructured":"Qi T, Wu F, Wu C, Huang Y (2021) Personalized news recommendation with knowledge-aware interactive matching. In: Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 61\u201370","DOI":"10.1145\/3404835.3462861"},{"key":"3109_CR40","doi-asserted-by":"crossref","unstructured":"Ge S, Wu C, Wu F, Qi T, Huang Y (2020) Graph enhanced representation learning for news recommendation. In: WWW \u201920: The Web Conference 2020, pp. 2863\u20132869","DOI":"10.1145\/3366423.3380050"},{"key":"3109_CR41","doi-asserted-by":"crossref","unstructured":"Liu Z, Xing Y, Wu F, An M, Xie X (2019) Hi-fi ark: Deep user representation via high-fidelity archive network. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, pp. 3059\u20133065","DOI":"10.24963\/ijcai.2019\/424"},{"key":"3109_CR42","doi-asserted-by":"crossref","unstructured":"Wu C, Wu F, An M, Qi T, Huang J, Huang Y, Xie X (2019) Neural news recommendation with heterogeneous user behavior. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, pp. 4873\u20134882","DOI":"10.18653\/v1\/D19-1493"},{"key":"3109_CR43","doi-asserted-by":"crossref","unstructured":"Wu C, Wu F, Huang Y, Xie X (2021) User-as-graph: User modeling with heterogeneous graph pooling for news recommendation. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI 2021, pp. 1624\u20131630","DOI":"10.24963\/ijcai.2021\/224"},{"key":"3109_CR44","doi-asserted-by":"crossref","unstructured":"He X, He Z, Du X, Chua T (2018) Adversarial personalized ranking for recommendation. In: Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, pp. 355\u2013364","DOI":"10.1145\/3209978.3209981"},{"key":"3109_CR45","unstructured":"Rendle S, Freudenthaler C, Gantner Z, Schmidt-Thieme L (2009) BPR: bayesian personalized ranking from implicit feedback. In: Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, pp. 452\u2013461"},{"key":"3109_CR46","doi-asserted-by":"crossref","unstructured":"Wu F, Qiao Y, Chen J, Wu C, Qi T, Lian J, Liu D, Xie X, Gao J, Wu W, Zhou M (2020) MIND: A large-scale dataset for news recommendation. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, pp. 3597\u20133606","DOI":"10.18653\/v1\/2020.acl-main.331"},{"key":"3109_CR47","unstructured":"Bordes A, Usunier N, Dur\u00e1n AG, Weston J, Yakhnenko O (2013) Translating embeddings for modeling multi-relational data. In: Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013, pp. 2787\u20132795"},{"key":"3109_CR48","doi-asserted-by":"crossref","unstructured":"Wu C, Wu F, An M, Huang J, Huang Y, Xie X (2019) Neural news recommendation with attentive multi-view learning. In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, pp. 3863\u20133869","DOI":"10.24963\/ijcai.2019\/536"},{"key":"3109_CR49","doi-asserted-by":"crossref","unstructured":"Pennington J, Socher R, Manning CD (2014) Glove: Global vectors for word representation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, pp. 1532\u20131543","DOI":"10.3115\/v1\/D14-1162"},{"key":"3109_CR50","doi-asserted-by":"crossref","unstructured":"Zhu Q, Zhou X, Song Z, Tan J, Guo L (2019) DAN: deep attention neural network for news recommendation. In: The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, pp. 5973\u20135980","DOI":"10.1609\/aaai.v33i01.33015973"},{"key":"3109_CR51","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2024.106824","volume":"181","author":"C Zheng","year":"2025","unstructured":"Zheng C, Song Y (2025) Personalized multi-head self-attention network for news recommendation. Neural Netw 181:106824","journal-title":"Neural Netw"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-026-03109-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s13042-026-03109-1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-026-03109-1.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,24]],"date-time":"2026-04-24T08:45:00Z","timestamp":1777020300000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s13042-026-03109-1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,24]]},"references-count":51,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2026,6]]}},"alternative-id":["3109"],"URL":"https:\/\/doi.org\/10.1007\/s13042-026-03109-1","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,24]]},"assertion":[{"value":"31 March 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 April 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"24 April 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":"269"}}