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Recomm. Syst."],"published-print":{"date-parts":[[2025,3,31]]},"abstract":"<jats:p>\n            Facing the challenges of sparsity and long tail in thousands of Mini-apps recommendation scenarios deployed on Alipay platform, there is a great need for a simple, effective, and easy-to-deploy industrial solution. To address this issue, we follow the strategy of \u201cdivide and conquer\u201d and propose a crowd-based recommendation model by using\n            <jats:underline>D<\/jats:underline>\n            eterminantal\n            <jats:underline>P<\/jats:underline>\n            oint\n            <jats:underline>P<\/jats:underline>\n            rocesse\n            <jats:underline>s<\/jats:underline>\n            on\n            <jats:underline>C<\/jats:underline>\n            rowd-wise\n            <jats:underline>M<\/jats:underline>\n            ixture-\n            <jats:underline>o<\/jats:underline>\n            f-\n            <jats:underline>E<\/jats:underline>\n            xperts (DPPs-CMoE). Specifically, under the guidance of DPPs-based prototypical tags, the user profiling space is sequentially divided into multiple crowds, with each of them taking on a unique latent specificity; Meanwhile, by treating the modeling of crowd specificity as one of multiple tasks, a crowd-wise architecture is adopted to seamlessly unify the multiple expert networks from the overall user space and the gating network from each of independent crowd spaces. The effectiveness of the proposed method has been illustrated in the experimental results on a mini-apps recommendation scenario deployed in Alipay APPs.\n          <\/jats:p>","DOI":"10.1145\/3691357","type":"journal-article","created":{"date-parts":[[2024,9,2]],"date-time":"2024-09-02T10:54:53Z","timestamp":1725274493000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Determinantal Point Processes Guided Crowd-wise Mixture-of-Experts for Recommendation in Alipay"],"prefix":"10.1145","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9326-9863","authenticated-orcid":false,"given":"Youru","family":"Li","sequence":"first","affiliation":[{"name":"Institute of Information Science &amp; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7315-3276","authenticated-orcid":false,"given":"Zhenfeng","family":"Zhu","sequence":"additional","affiliation":[{"name":"Institute of Information Science &amp; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5850-7469","authenticated-orcid":false,"given":"Shaohu","family":"Chen","sequence":"additional","affiliation":[{"name":"Ant Group CO Ltd, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-2334-2731","authenticated-orcid":false,"given":"Kaiming","family":"Shen","sequence":"additional","affiliation":[{"name":"Ant Group CO Ltd, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4012-3796","authenticated-orcid":false,"given":"Xingxing","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8861-9503","authenticated-orcid":false,"given":"Wenliang","family":"Zhong","sequence":"additional","affiliation":[{"name":"Ant Group CO Ltd, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8581-9554","authenticated-orcid":false,"given":"Yao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of Information Science &amp; Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,25]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/J.INFFUS.2022.09.015"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/B978-1-55860-307-3.50012-5"},{"key":"e_1_3_3_4_2","first-page":"2125","article-title":"Adaptive prototype learning algorithms: Theoretical and experimental studies","volume":"7","author":"Chang Fu","year":"2006","unstructured":"Fu Chang, Chin-Chin Lin, and Chi-Jen Lu. 2006. 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