{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T12:50:40Z","timestamp":1776084640407,"version":"3.50.1"},"reference-count":65,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2023,12,9]],"date-time":"2023-12-09T00:00:00Z","timestamp":1702080000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61976204"],"award-info":[{"award-number":["61976204"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Project of Youth Innovation Promotion Association CAS, Beijing Nova Program","award":["Z201100006820062"],"award-info":[{"award-number":["Z201100006820062"]}]},{"name":"MSRA Young Visiting Researcher Program"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Knowl. Discov. Data"],"published-print":{"date-parts":[[2024,4,30]]},"abstract":"<jats:p>\n            In this article, we study the problem of personalized news headline generation, which aims to produce not only concise and fact-consistent titles for news articles but also decorate these titles as personalized irresistible reading invitations by incorporating readers\u2019 preferences. We propose an approach named\n            <jats:italic>PNG<\/jats:italic>\n            \u00a0(\n            <jats:italic>P<\/jats:italic>\n            ersonalized\n            <jats:italic>N<\/jats:italic>\n            ews headline\n            <jats:italic>G<\/jats:italic>\n            enerator) by utilizing distant supervision in readers\u2019 past click behaviors to resolve. First, user preference representations are learned through a knowledge-aware user encoder that comprehensively captures the genuine, sequential, and flash interests of users reflected in their historical clicked news. Then, a user-perturbed pointer-generator network is devised to accomplish the headline generation in which the learned user representations implicitly affect the word prediction. The proposed model is optimized by reinforcement learning solvers where indicators on factual, personalized, and linguistic aspects of the generated headline are regarded as rewards. Extensive experiments are conducted on the real-world dataset PENS,\n            <jats:xref ref-type=\"fn\">\n              <jats:sup>1<\/jats:sup>\n            <\/jats:xref>\n            which is a large-scale benchmark collected from Microsoft News. Both the quantitative and qualitative results validate the effectiveness of our approach.\n          <\/jats:p>","DOI":"10.1145\/3629168","type":"journal-article","created":{"date-parts":[[2023,11,3]],"date-time":"2023-11-03T20:06:23Z","timestamp":1699041983000},"page":"1-20","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Put Your Voice on Stage: Personalized Headline Generation for News Articles"],"prefix":"10.1145","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9633-8361","authenticated-orcid":false,"given":"Xiang","family":"Ao","sequence":"first","affiliation":[{"name":"University of Chinese Academy of Sciences, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-1189-5139","authenticated-orcid":false,"given":"Ling","family":"Luo","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5768-1095","authenticated-orcid":false,"given":"Xiting","family":"Wang","sequence":"additional","affiliation":[{"name":"Gaoling School of Artificial Intelligence, Renmin University of China, and Beijing Key Laboratory of Big Data Management and Analysis Methods, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6256-5272","authenticated-orcid":false,"given":"Zhao","family":"Yang","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2129-9430","authenticated-orcid":false,"given":"Jiun-Hung","family":"Chen","sequence":"additional","affiliation":[{"name":"Microsoft, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-4767-5494","authenticated-orcid":false,"given":"Ying","family":"Qiao","sequence":"additional","affiliation":[{"name":"Microsoft, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8833-5398","authenticated-orcid":false,"given":"Qing","family":"He","sequence":"additional","affiliation":[{"name":"University of Chinese Academy of Sciences, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8608-8482","authenticated-orcid":false,"given":"Xing","family":"Xie","sequence":"additional","affiliation":[{"name":"Microsoft Research Asia, China"}]}],"member":"320","published-online":{"date-parts":[[2023,12,9]]},"reference":[{"key":"e_1_3_2_2_2","first-page":"1243","volume-title":"Proceedings of ACL","author":"Alfonseca Enrique","year":"2013","unstructured":"Enrique Alfonseca, Daniele Pighin, and Guillermo Garrido. 2013. Heady: News headline abstraction through event pattern clustering. In Proceedings of ACL. 1243\u20131253."},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1033"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-long.7"},{"key":"e_1_3_2_5_2","first-page":"3249","volume-title":"Proceedings of NIPS","author":"Bachman Philip","year":"2015","unstructured":"Philip Bachman and Doina Precup. 2015. Data generation as sequential decision making. In Proceedings of NIPS. 3249\u20133257."},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.3115\/1075218.1075259"},{"key":"e_1_3_2_7_2","first-page":"2787","volume-title":"Proceedings of NIPS","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013. Translating embeddings for modeling multi-relational data. In Proceedings of NIPS. 2787\u20132795."},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/296"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/1526709.1526802"},{"key":"e_1_3_2_10_2","volume-title":"Proceedings of the SIGIR Workshop on Recommender Systems","author":"Claypool Mark","year":"1999","unstructured":"Mark Claypool, Anuja Gokhale, Tim Miranda, Paul Murnikov, Dmitry Netes, and Matthew Sartin. 1999. Combing content-based and collaborative filters in an online newspaper. In Proceedings of the SIGIR Workshop on Recommender Systems."},{"issue":"4","key":"e_1_3_2_11_2","first-page":"450","article-title":"Individual differences in working memory and reading","volume":"19","author":"Daneman Meredyth","year":"1980","unstructured":"Meredyth Daneman and Patricia A. Carpenter. 1980. Individual differences in working memory and reading. Journal of Memory and Language 19, 4 (1980), 450.","journal-title":"Journal of Memory and Language"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242610"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.3115\/1119467.1119468"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11330"},{"key":"e_1_3_2_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-15719-7_11"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P16-1154"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3366423.3380247"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1067"},{"key":"e_1_3_2_19_2","article-title":"Adam: A method for stochastic optimization","author":"Kingma Diederik P.","year":"2014","unstructured":"Diederik P. Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014).","journal-title":"arXiv preprint arXiv:1412.6980"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/245108.245126"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.750"},{"key":"e_1_3_2_22_2","volume-title":"Heads You Win: An Easy Guide to Better Headline and Caption Writing","author":"LaRocque Paul","year":"2003","unstructured":"Paul LaRocque. 2003. Heads You Win: An Easy Guide to Better Headline and Caption Writing. Marion Street Press Inc."},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.703"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2009937"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/529"},{"key":"e_1_3_2_26_2","volume-title":"Text Summarization Branches Out","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. ROUGE: A package for automatic evaluation of summaries. In Text Summarization Branches Out. Association for Computational Linguistics, 74\u201381."},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.1145\/1719970.1719976"},{"key":"e_1_3_2_29_2","article-title":"Generating news headlines with recurrent neural networks","author":"Lopyrev Konstantin","year":"2015","unstructured":"Konstantin Lopyrev. 2015. Generating news headlines with recurrent neural networks. arXiv preprint arXiv:1512.01712 (2015).","journal-title":"arXiv preprint arXiv:1512.01712"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240365"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v29i1.9183"},{"key":"e_1_3_2_32_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1300"},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458150"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-2010"},{"key":"e_1_3_2_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098108"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1080"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1044"},{"key":"e_1_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1099"},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-017-1758-3"},{"key":"e_1_3_2_41_2","first-page":"6830","volume-title":"Proceedings of NIPS","author":"Shen Tianxiao","year":"2017","unstructured":"Tianxiao Shen, Tao Lei, Regina Barzilay, and Tommi Jaakkola. 2017. Style transfer from non-parallel text by cross-alignment. In Proceedings of NIPS. 6830\u20136841."},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00062"},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505601"},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/P15-1045"},{"key":"e_1_3_2_45_2","first-page":"1057","volume-title":"Proceedings of NIPS","author":"Sutton Richard S.","year":"2000","unstructured":"Richard S. Sutton, David A. McAllester, Satinder P. Singh, and Yishay Mansour. 2000. Policy gradient methods for reinforcement learning with function approximation. In Proceedings of NIPS. 1057\u20131063."},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1112"},{"key":"e_1_3_2_47_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/574"},{"key":"e_1_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313650"},{"key":"e_1_3_2_49_2","first-page":"5998","volume-title":"Advances in Neural Information Processing Systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, \u0141ukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems. 5998\u20136008."},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1177\/1522637915623965"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186175"},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467105"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.5555\/2893873.2894046"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1170"},{"key":"e_1_3_2_55_2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/536"},{"key":"e_1_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330665"},{"key":"e_1_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1671"},{"key":"e_1_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3462854"},{"key":"e_1_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1303"},{"key":"e_1_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.335"},{"key":"e_1_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-1174"},{"key":"e_1_3_2_62_2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v31i1.10804"},{"key":"e_1_3_2_63_2","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271711"},{"key":"e_1_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1139"},{"key":"e_1_3_2_65_2","first-page":"483","volume-title":"Proceedings of NAACL-HLT","author":"Zheng Zhicheng","year":"2010","unstructured":"Zhicheng Zheng, Fangtao Li, Minlie Huang, and Xiaoyan Zhu. 2010. Learning to link entities with knowledge base. In Proceedings of NAACL-HLT. 483\u2013491."},{"key":"e_1_3_2_66_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1100"}],"container-title":["ACM Transactions on Knowledge Discovery from Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3629168","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3629168","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:36:18Z","timestamp":1750178178000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3629168"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,9]]},"references-count":65,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2024,4,30]]}},"alternative-id":["10.1145\/3629168"],"URL":"https:\/\/doi.org\/10.1145\/3629168","relation":{},"ISSN":["1556-4681","1556-472X"],"issn-type":[{"value":"1556-4681","type":"print"},{"value":"1556-472X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,12,9]]},"assertion":[{"value":"2022-07-06","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-09-26","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2023-12-09","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}