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Inf. Syst."],"published-print":{"date-parts":[[2024,1,31]]},"abstract":"<jats:p>Personalized news recommendation aims to help users find news content they prefer, which has attracted increasing attention recently. There are two core issues in news recommendation: learning news representation and matching candidate news with user interests. In this context, \u201ccandidate\u201d indicates potential for interest. Due to the superior ability to understand natural language demonstrated by Pretrained Language Models (PLMs), recent works utilize PLMs (e.g., BERT) to strengthen news modeling, obtaining more accurate user interest matching and achieving notable improvement in news recommendation. However, the existing PLM-based methods are usually incapable of fully exploring the fine-grained (i.e., word-level) relatedness between user behaviors and candidate news due to the heavy computational cost brought by PLMs. In this article, we propose a group-based personalized news recommendation method with long- and short-term matching mechanisms between users and candidate news based on PLMs to learn fine-grained matching efficiently and effectively. In our approach, we design to group user historical clicked news into chunks with quite shorter news sequences according to their clicked timestamps, which could alleviate the computation issues of PLMs. PLMs are applied in each group jointly with the candidate news to capture their word-level interaction, and global group-level matching is learned across different groups. In addition, the group-based mechanism could be naturally adapted for long- and short-term user representation learning, in which we build users\u2019 long preferences from the representations of all groups and treat the last group as short interests, respectively. Finally, we employ a gate network to dynamically unify the group-level, long- and short-term representations, yielding comprehensive user-news matching effectively. Extensive experiments are conducted on two real-world datasets. The results show that our proposed method achieves superior performance in news recommendations.<\/jats:p>","DOI":"10.1145\/3584946","type":"journal-article","created":{"date-parts":[[2023,2,21]],"date-time":"2023-02-21T11:24:15Z","timestamp":1676978655000},"page":"1-27","update-policy":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Group-Based Personalized News Recommendation with Long- and Short-Term Fine-Grained Matching"],"prefix":"10.1145","volume":"42","author":[{"ORCID":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/orcid.org\/0000-0002-9881-2634","authenticated-orcid":false,"given":"Hongyan","family":"Xu","sequence":"first","affiliation":[{"name":"Tianjin University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/orcid.org\/0000-0002-2281-9143","authenticated-orcid":false,"given":"Qiyao","family":"Peng","sequence":"additional","affiliation":[{"name":"Tianjin University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/orcid.org\/0000-0001-6939-3672","authenticated-orcid":false,"given":"Hongtao","family":"Liu","sequence":"additional","affiliation":[{"name":"Du Xiaoman Financial"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/orcid.org\/0000-0003-4569-8193","authenticated-orcid":false,"given":"Yueheng","family":"Sun","sequence":"additional","affiliation":[{"name":"Tianjin University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/summer-heart-0930.chufeiyun1688.workers.dev:443\/https\/orcid.org\/0000-0002-3325-7481","authenticated-orcid":false,"given":"Wenjun","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,18]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"336","volume-title":"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL\u201919)","author":"An Mingxiao","year":"2019","unstructured":"Mingxiao An, Fangzhao Wu, Chuhan Wu, Kun Zhang, Zheng Liu, and Xing Xie. 2019. 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In Findings of the Association for Computational Linguistics: EMNLP 2021 Virtual Event \/ Punta Cana Dominican Republic 16-20 November 2021 Marie-Francine Moens Xuanjing Huang Lucia Specia and Scott Wen-tau Yih (Eds.). Association for Computational Linguistics 46\u201355."},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098108"},{"key":"e_1_3_2_37_2","first-page":"61","article-title":"Personalized news recommendation with knowledge-aware interactive matching","author":"Qi Tao","year":"2021","unstructured":"Tao Qi, Fangzhao Wu, Chuhan Wu, and Yongfeng Huang. 2021. Personalized news recommendation with knowledge-aware interactive matching. SIGIR (2021), 61\u201370.","journal-title":"SIGIR"},{"key":"e_1_3_2_38_2","doi-asserted-by":"crossref","unstructured":"Tao Qi Fangzhao Wu Chuhan Wu and Yongfeng Huang. 2021. PP-Rec: News recommendation with personalized user interest and time-aware news popularity. 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In Thirty-Fifth AAAI Conference on Artificial Intelligence AAAI 2021 Thirty-Third Conference on Innovative Applications of Artificial Intelligence IAAI 2021 The Eleventh Symposium on Educational Advances in Artificial Intelligence EAAI 2021 Virtual Event February 2-9 2021 . AAAI Press 4320\u20134327.","DOI":"10.1609\/aaai.v35i5.16557"},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/2168752.2168771"},{"key":"e_1_3_2_43_2","doi-asserted-by":"crossref","unstructured":"Jeong-Woo Son A-Yeong Kim and Seong-Bae Park. 2013. A location-based news article recommendation with explicit localized semantic analysis. In The 36th International ACM SIGIR conference on research and development in Information Retrieval SIGIR\u201913 Dublin Ireland - July 28 - August 01 2013 Gareth J. F. Jones Paraic Sheridan Diane Kelly Maarten de Rijke and Tetsuya Sakai (Eds.). 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Vishwanathan and Roman Garnett (Eds.). 5998\u20136008."},{"issue":"2","key":"e_1_3_2_46_2","first-page":"1760012:1\u201317600","article-title":"A hybrid approach for personalized news recommendation in a mobility scenario using long-short user interest","volume":"26","author":"Viana Paula","year":"2017","unstructured":"Paula Viana and M\u00e1rcio Soares. 2017. A hybrid approach for personalized news recommendation in a mobility scenario using long-short user interest. International Journal on Artificial Intelligence Tools 26, 2 (2017), 1760012:1\u20131760012:29.","journal-title":"International Journal on Artificial Intelligence Tools"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.1145\/2020408.2020480"},{"key":"e_1_3_2_48_2","doi-asserted-by":"crossref","unstructured":"Heyuan Wang Fangzhao Wu Zheng Liu and Xing Xie. 2020. Fine-grained interest matching for neural news recommendation. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics ACL 2020 Online July 5-10 2020 Dan Jurafsky Joyce Chai Natalie Schluter and Joel R. Tetreault (Eds.). Association for Computational Linguistics 836\u2013845.","DOI":"10.18653\/v1\/2020.acl-main.77"},{"key":"e_1_3_2_49_2","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Fuzheng Zhang Xing Xie and Minyi Guo. 2018. DKN: Deep knowledge-aware network for news recommendation. In Proceedings of the 2018 World Wide Web Conference on World Wide Web WWW 2018 Lyon France April 23-27 2018 Pierre-Antoine Champin Fabien Gandon Mounia Lalmas and Panagiotis G. Ipeirotis (Eds.). ACM 1835\u20131844.","DOI":"10.1145\/3178876.3186175"},{"key":"e_1_3_2_50_2","doi-asserted-by":"crossref","unstructured":"Chuhan Wu Fangzhao Wu Mingxiao An Jianqiang Huang Yongfeng Huang and Xing Xie. 2019. Neural news recommendation with attentive multi-view learning. 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In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI\u201921), Zhi-Hua Zhou (Ed.). ijcai.org, 3356\u20133362."},{"key":"e_1_3_2_67_2","doi-asserted-by":"crossref","unstructured":"Guanjie Zheng Fuzheng Zhang Zihan Zheng Yang Xiang Nicholas Jing Yuan Xing Xie and Zhenhui Li. 2018. DRN: A deep reinforcement learning framework for news recommendation. In Proceedings of the 2018 World Wide Web Conference on World Wide Web WWW 2018 Lyon France April 23-27 2018 Pierre-Antoine Champin Fabien Gandon Mounia Lalmas and Panagiotis G. Ipeirotis (Eds.). ACM 167\u2013176.","DOI":"10.1145\/3178876.3185994"},{"key":"e_1_3_2_68_2","doi-asserted-by":"crossref","unstructured":"Qiannan Zhu Xiaofei Zhou Zeliang Song Jianlong Tan and Li Guo. 2019. DAN: Deep attention neural network for news recommendation. 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