{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T23:15:08Z","timestamp":1773011708221,"version":"3.50.1"},"reference-count":76,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2021,12,30]],"date-time":"2021-12-30T00:00:00Z","timestamp":1640822400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Sciences and Engineering Research Council (NSERC) of Canada","award":["RGPIN-2020-05588 and RGPIN-2020-07157"],"award-info":[{"award-number":["RGPIN-2020-05588 and RGPIN-2020-07157"]}]},{"name":"York Research Chairs"},{"DOI":"10.13039\/100012531","name":"Wilfrid Laurier University","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100012531","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Inf. Syst."],"published-print":{"date-parts":[[2022,7,31]]},"abstract":"<jats:p>In this article, we propose a Latent Dirichlet Allocation\u2013 (LDA) based topic-graph probabilistic personalization model for Web search. This model represents a user graph in a latent topic graph and simultaneously estimates the probabilities that the user is interested in the topics, as well as the probabilities that the user is not interested in the topics. For a given query issued by the user, the webpages that have higher relevancy to the interested topics are promoted, and the webpages more relevant to the non-interesting topics are penalized. In particular, we simulate a user\u2019s search intent by building two profiles: A positive user profile for the probabilities of the user is interested in the topics and a corresponding negative user profile for the probabilities of being not interested in the the topics. The profiles are estimated based on the user\u2019s search logs. A clicked webpage is assumed to include interesting topics. A skipped (viewed but not clicked) webpage is assumed to cover some non-interesting topics to the user. Such estimations are performed in the latent topic space generated by LDA. Moreover, a new approach is proposed to estimate the correlation between a given query and the user\u2019s search history so as to determine how much personalization should be considered for the query. We compare our proposed models with several strong baselines including state-of-the-art personalization approaches. Experiments conducted on a large-scale real user search log collection illustrate the effectiveness of the proposed models.<\/jats:p>","DOI":"10.1145\/3476106","type":"journal-article","created":{"date-parts":[[2021,12,30]],"date-time":"2021-12-30T10:54:18Z","timestamp":1640861658000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":14,"title":["Are Topics Interesting or Not? An LDA-based Topic-graph Probabilistic Model for Web Search Personalization"],"prefix":"10.1145","volume":"40","author":[{"given":"Jiashu","family":"Zhao","sequence":"first","affiliation":[{"name":"Department of Physic and Computer Science, Wilfrid Laurier University, Waterloo, Canada"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1292-1491","authenticated-orcid":false,"given":"Jimmy Xiangji","family":"Huang","sequence":"additional","affiliation":[{"name":"Information Retrieval and Knowledge Management Lab, York University, Toronto, Canada"}]},{"given":"Hongbo","family":"Deng","sequence":"additional","affiliation":[{"name":"Alibaba Inc, Hangzhou, China"}]},{"given":"Yi","family":"Chang","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence, Jilin University, Jilin, China"}]},{"given":"Long","family":"Xia","sequence":"additional","affiliation":[{"name":"Information Retrieval &amp; Knowledge Management Research Lab, York University, Toronto, Canada"}]}],"member":"320","published-online":{"date-parts":[[2021,12,30]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148175"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209983"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/2348283.2348312"},{"key":"e_1_3_2_5_2","doi-asserted-by":"publisher","DOI":"10.5555\/944919.944937"},{"key":"e_1_3_2_6_2","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23735"},{"key":"e_1_3_2_7_2","doi-asserted-by":"publisher","DOI":"10.1145\/1871437.1871745"},{"key":"e_1_3_2_8_2","doi-asserted-by":"publisher","DOI":"10.1145\/3423322"},{"key":"e_1_3_2_9_2","doi-asserted-by":"publisher","DOI":"10.1145\/1718487.1718531"},{"key":"e_1_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449941"},{"key":"e_1_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772714"},{"key":"e_1_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/1414694.1414708"},{"key":"e_1_3_2_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242610"},{"key":"e_1_3_2_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.75"},{"key":"e_1_3_2_15_2","first-page":"4171","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. Bert: Pre-training of deep bidirectional transformers for language understanding. In Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT\u201919), 4171\u20134186.","journal-title":"Proceedings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT\u201919)"},{"key":"e_1_3_2_16_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106227"},{"key":"e_1_3_2_17_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411964"},{"key":"e_1_3_2_18_2","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242651"},{"key":"e_1_3_2_19_2","doi-asserted-by":"publisher","DOI":"10.1145\/1458082.1458095"},{"key":"e_1_3_2_20_2","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372165"},{"key":"e_1_3_2_21_2","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/35.3.243"},{"key":"e_1_3_2_22_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411939"},{"key":"e_1_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"e_1_3_2_24_2","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484055"},{"key":"e_1_3_2_25_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.wnut-1.29"},{"key":"e_1_3_2_26_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2011.03.007"},{"key":"e_1_3_2_27_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P17-1036"},{"key":"e_1_3_2_28_2","doi-asserted-by":"publisher","DOI":"10.5555\/2997189.2997285"},{"key":"e_1_3_2_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.52"},{"key":"e_1_3_2_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA.2017.8001177"},{"key":"e_1_3_2_31_2","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026028229881"},{"key":"e_1_3_2_32_2","volume-title":"Proceedings of the 14th Text Retrieval Conference (TREC\u201905)","author":"Huang Xiangji","year":"2005","unstructured":"Xiangji Huang, Ming Zhong, and Luo Si. 2005. York University at TREC 2005: Genomics track. In Proceedings of the 14th Text Retrieval Conference (TREC\u201905), Ellen M. Voorhees and Lori P. Buckland (Eds.). National Institute of Standards and Technology."},{"key":"e_1_3_2_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"e_1_3_2_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124323"},{"key":"e_1_3_2_35_2","article-title":"Auto-encoding variational bayes","author":"Kingma Diederik P.","year":"2014","unstructured":"Diederik P. Kingma and Max Welling. 2014. Auto-encoding variational bayes. In Proceedings of the International Conference on Learning Representations.","journal-title":"Proceedings of the International Conference on Learning Representations"},{"key":"e_1_3_2_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/1719970.1719976"},{"key":"e_1_3_2_37_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411936"},{"key":"e_1_3_2_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412332"},{"key":"e_1_3_2_39_2","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835823"},{"key":"e_1_3_2_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/1935826.1935840"},{"key":"e_1_3_2_41_2","doi-asserted-by":"publisher","DOI":"10.1017\/S0269888907001282"},{"key":"e_1_3_2_42_2","doi-asserted-by":"publisher","DOI":"10.1109\/IEMCON.2017.8117171"},{"key":"e_1_3_2_43_2","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCA.2012.2187887"},{"key":"e_1_3_2_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401960"},{"key":"e_1_3_2_45_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2014.2353577"},{"key":"e_1_3_2_46_2","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3412691"},{"key":"e_1_3_2_47_2","article-title":"Unsupervised representation learning with deep convolutional generative adversarial networks","author":"Radford Alec","year":"2016","unstructured":"Alec Radford, Luke Metz, and Soumith Chintala. 2016. Unsupervised representation learning with deep convolutional generative adversarial networks. In Proceedings of the 4th International Conference on Learning Representations (ICLR\u201916) (2016).","journal-title":"Proceedings of the 4th International Conference on Learning Representations (ICLR\u201916)"},{"key":"e_1_3_2_48_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2850376"},{"key":"e_1_3_2_49_2","doi-asserted-by":"publisher","DOI":"10.5555\/188490.188561"},{"key":"e_1_3_2_50_2","doi-asserted-by":"publisher","DOI":"10.1145\/988672.988675"},{"key":"e_1_3_2_51_2","doi-asserted-by":"publisher","DOI":"10.5555\/1036843.1036902"},{"key":"e_1_3_2_52_2","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2011.2181344"},{"key":"e_1_3_2_53_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"e_1_3_2_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/1099554.1099747"},{"key":"e_1_3_2_55_2","doi-asserted-by":"publisher","DOI":"10.5555\/1944566.1944700"},{"key":"e_1_3_2_56_2","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772782"},{"key":"e_1_3_2_57_2","doi-asserted-by":"publisher","DOI":"10.1145\/2124295.2124348"},{"key":"e_1_3_2_58_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2011.12.004"},{"key":"e_1_3_2_59_2","doi-asserted-by":"publisher","DOI":"10.1145\/1060745.1060803"},{"key":"e_1_3_2_60_2","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150493"},{"key":"e_1_3_2_61_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2010.145"},{"key":"e_1_3_2_62_2","doi-asserted-by":"publisher","DOI":"10.1145\/1076034.1076111"},{"key":"e_1_3_2_63_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-12275-0_37"},{"key":"e_1_3_2_64_2","doi-asserted-by":"publisher","DOI":"10.6028\/NIST.SP.500-246"},{"key":"e_1_3_2_65_2","first-page":"605","volume-title":"Advances in Information Retrieval","author":"Vu Thanh","year":"2015","unstructured":"Thanh Vu, Alistair Willis, Son N. Tran, and Dawei Song. 2015. Temporal latent topic user profiles for search personalisation. In Advances in Information Retrieval. Springer, 605\u2013616."},{"key":"e_1_3_2_66_2","doi-asserted-by":"publisher","DOI":"10.1145\/2484028.2484068"},{"key":"e_1_3_2_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330836"},{"key":"e_1_3_2_68_2","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.122"},{"key":"e_1_3_2_69_2","doi-asserted-by":"publisher","DOI":"10.1145\/2835776.2835824"},{"key":"e_1_3_2_70_2","doi-asserted-by":"publisher","DOI":"10.1145\/1148170.1148204"},{"key":"e_1_3_2_71_2","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488511"},{"key":"e_1_3_2_72_2","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401153"},{"key":"e_1_3_2_73_2","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210180"},{"key":"e_1_3_2_74_2","doi-asserted-by":"publisher","DOI":"10.1145\/2009916.2009941"},{"key":"e_1_3_2_75_2","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2164-14-S4-S6"},{"key":"e_1_3_2_76_2","doi-asserted-by":"publisher","DOI":"10.1145\/2590988"},{"key":"e_1_3_2_77_2","doi-asserted-by":"publisher","DOI":"10.1109\/WI.2006.186"}],"container-title":["ACM Transactions on Information Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3476106","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3476106","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:12:02Z","timestamp":1750191122000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3476106"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12,30]]},"references-count":76,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2022,7,31]]}},"alternative-id":["10.1145\/3476106"],"URL":"https:\/\/doi.org\/10.1145\/3476106","relation":{},"ISSN":["1046-8188","1558-2868"],"issn-type":[{"value":"1046-8188","type":"print"},{"value":"1558-2868","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,12,30]]},"assertion":[{"value":"2020-11-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-07-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-12-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}