{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,10]],"date-time":"2026-06-10T16:07:59Z","timestamp":1781107679600,"version":"3.54.1"},"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":[[2019,8]]},"abstract":"<jats:p>A session-based recommender system (SBRS) suggests the next item by modeling the dependencies between items in a session. Most of existing SBRSs assume the items inside a session are associated with one (implicit) purpose. However, this may not always be true in reality, and a session may often consist of multiple subsets of items for different purposes (e.g., breakfast and decoration). Specifically, items (e.g., bread and milk) in a subsethave strong purpose-specific dependencies whereas items (e.g., bread and vase) from different subsets have much weaker or even no dependencies due to the difference of purposes. Therefore, we propose a mixture-channel model to accommodate the\u00a0multi-purpose item subsets for more precisely representing a session. Filling gaps in existing SBRSs, this model recommends more diverse items to satisfy different purposes. Accordingly, we design effective mixture-channel purpose routing networks\u00a0(MCPRN) with a purpose routing network to detect the purposes of each item and assign it into the corresponding channels. Moreover, a purpose specific recurrent network is devised to model the dependencies between items within each channel for a specific purpose. The experimental results show the superiority of MCPRN over the state-of-the-art methods in terms of both recommendation accuracy and diversity.\u00a0\u00a0<\/jats:p>","DOI":"10.24963\/ijcai.2019\/523","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:05Z","timestamp":1564299965000},"page":"3771-3777","source":"Crossref","is-referenced-by-count":116,"title":["Modeling Multi-Purpose Sessions for Next-Item Recommendations via Mixture-Channel Purpose Routing Networks"],"prefix":"10.24963","author":[{"given":"Shoujin","family":"Wang","sequence":"first","affiliation":[{"name":"Department of Computing, Macquarie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liang","family":"Hu","sequence":"additional","affiliation":[{"name":"Advanced Analytics Institute, University of Technology Sydney,"},{"name":"University of Shanghai for Science and Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yan","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computing, Macquarie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Quan Z.","family":"Sheng","sequence":"additional","affiliation":[{"name":"Department of Computing, Macquarie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mehmet","family":"Orgun","sequence":"additional","affiliation":[{"name":"Department of Computing, Macquarie University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Longbing","family":"Cao","sequence":"additional","affiliation":[{"name":"Advanced Analytics Institute, University of Technology Sydney"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","theme":"Artificial Intelligence","location":"Macao, China","acronym":"IJCAI-2019","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2019,8,10]]},"end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:49:53Z","timestamp":1564300193000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/523"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/523","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}