{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T14:00:53Z","timestamp":1760709653232},"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>Modeling user-item interaction patterns is an important task for personalized recommendations. Many recommender systems are based on the assumption that there exists a linear relationship between users and items while neglecting the intricacy and non-linearity of real-life historical interactions. In this paper, we propose a neural network based recommendation model (NeuRec) that untangles the complexity of user-item interactions and establish an integrated network to combine non-linear transformation with latent factors. We further design two variants of NeuRec: user-based NeuRec and item-based NeuRec, by focusing on different aspects of the interaction matrix. Extensive experiments on four real-world datasets demonstrated their superior performances on personalized ranking task.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/510","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:10Z","timestamp":1530755350000},"page":"3669-3675","source":"Crossref","is-referenced-by-count":29,"title":["NeuRec: On Nonlinear Transformation for Personalized Ranking"],"prefix":"10.24963","author":[{"given":"Shuai","family":"Zhang","sequence":"first","affiliation":[{"name":"University of New South Wales"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lina","family":"Yao","sequence":"additional","affiliation":[{"name":"University of New South Wales"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aixin","family":"Sun","sequence":"additional","affiliation":[{"name":"Nanyang Technological University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sen","family":"Wang","sequence":"additional","affiliation":[{"name":"Griffith University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guodong","family":"Long","sequence":"additional","affiliation":[{"name":"University of Technology Sydney"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manqing","family":"Dong","sequence":"additional","affiliation":[{"name":"University of New South Wales"}],"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":"2018-07-05T01:53:32Z","timestamp":1530755612000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/510"}},"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\/510","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}