{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,16]],"date-time":"2025-10-16T06:31:22Z","timestamp":1760596282999},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7]]},"abstract":"<jats:p>Matrix factorization has been widely adopted for recommendation by learning latent embeddings of users and items from observed user-item interaction data. However, previous methods usually assume the learned embeddings are static or homogeneously evolving with the same diffusion rate. This is not valid in most scenarios, where users\u2019 preferences and item attributes heterogeneously drift over time. To remedy this issue, we have proposed a novel dynamic matrix factorization model, named Dynamic Bayesian Logistic Matrix Factorization (DBLMF), which aims to learn heterogeneous user and item embeddings that are drifting with inconsistent diffusion rates. More specifically, DBLMF extends logistic matrix factorization to model the probability a user would like to interact with an item at a given timestamp, and a diffusion process to connect latent embeddings over time. In addition, an efficient Bayesian inference algorithm has also been proposed to make DBLMF scalable on large datasets. The effectiveness of the proposed method has been demonstrated by extensive experiments on real datasets, compared with the state-of-the-art methods.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/481","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:10Z","timestamp":1530755350000},"page":"3463-3469","source":"Crossref","is-referenced-by-count":20,"title":["Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback"],"prefix":"10.24963","author":[{"given":"Yong","family":"Liu","sequence":"first","affiliation":[{"name":"Institute for Infocomm Research, A*STAR, Singapore"},{"name":"Link Analytic Centre, NTUC Link Pte. Ltd., Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lifan","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, A*Star, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guimei","family":"Liu","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, A*Star, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinyan","family":"Lu","sequence":"additional","affiliation":[{"name":"Tencent Social Ads, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Gao","sequence":"additional","affiliation":[{"name":"Tencent Social Ads, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao-Li","family":"Li","sequence":"additional","affiliation":[{"name":"Institute for Infocomm Research, A*Star, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhihui","family":"Jin","sequence":"additional","affiliation":[{"name":"Tencent Social Ads, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2018","name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","start":{"date-parts":[[2018,7,13]]},"theme":"Artificial Intelligence","location":"Stockholm, Sweden","end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:53:15Z","timestamp":1530755595000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/481"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/481","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}