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Inf. Syst."],"published-print":{"date-parts":[[2024,3,31]]},"abstract":"<jats:p>\n            Micro-video platforms such as TikTok are extremely popular nowadays. One important feature is that users no longer select interested videos from a set; instead, they either watch the recommended video or skip to the next one. As a result, the time length of users\u2019 watching behavior becomes the most important signal for identifying preferences. However, our empirical data analysis has shown a video-length effect that long videos can more easily receive a higher value of average view time, and thus adopting such view-time labels for measuring user preferences can easily induce a biased model that favors the longer videos. In this article, we propose a\n            <jats:bold>V<\/jats:bold>\n            ideo\n            <jats:bold>L<\/jats:bold>\n            ength\n            <jats:bold>D<\/jats:bold>\n            ebiasing\n            <jats:bold>Rec<\/jats:bold>\n            ommendation\u00a0(VLDRec) method to alleviate such an effect for micro-video recommendation. VLDRec designs the data labeling approach and the sample generation module that better capture user preferences in a view-time-oriented manner. It further leverages the multi-task learning technique to jointly optimize the above samples with the original biased ones. Extensive experiments show that VLDRec can improve users\u2019 view time by 1.81% and 11.32% on two real-world datasets, given a recommendation list of a fixed overall video length, compared with the best baseline method. Moreover, VLDRec is also more effective in matching users\u2019 interests in terms of the video content.\n          <\/jats:p>","DOI":"10.1145\/3617826","type":"journal-article","created":{"date-parts":[[2023,8,29]],"date-time":"2023-08-29T11:48:14Z","timestamp":1693309694000},"page":"1-24","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Alleviating Video-length Effect for Micro-video Recommendation"],"prefix":"10.1145","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9257-9109","authenticated-orcid":false,"given":"Yuhan","family":"Quan","sequence":"first","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7985-6263","authenticated-orcid":false,"given":"Jingtao","family":"Ding","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7561-5646","authenticated-orcid":false,"given":"Chen","family":"Gao","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4689-2289","authenticated-orcid":false,"given":"Nian","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8809-7676","authenticated-orcid":false,"given":"Lingling","family":"Yi","sequence":"additional","affiliation":[{"name":"Tencent, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0419-5514","authenticated-orcid":false,"given":"Depeng","family":"Jin","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5617-1659","authenticated-orcid":false,"given":"Yong","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,11,8]]},"reference":[{"key":"e_1_3_2_2_2","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3418487"},{"key":"e_1_3_2_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3209986"},{"key":"e_1_3_2_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240360"},{"issue":"11","key":"e_1_3_2_5_2","article-title":"Counterfactual reasoning and learning systems: The example of computational advertising.","volume":"14","author":"Bottou L\u00e9on","year":"2013","unstructured":"L\u00e9on Bottou, Jonas Peters, Joaquin Qui\u00f1onero-Candela, Denis X. 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