{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,21]],"date-time":"2026-07-21T15:11:38Z","timestamp":1784646698773,"version":"3.55.0"},"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":[[2020,7]]},"abstract":"<jats:p>User  purchase  behaviours  are  complex  and  dynamic,  which  are  usually  observed  as  multiple choice actions across a sequence of shopping baskets.   Most of the existing next-basket prediction approaches model user actions as homogeneous sequence data without considering complex and heterogeneous user intentions, impeding deep under-standing of user behaviours from the perspective of human inside drivers and thus reducing the prediction performance.  Psychological theories have indicated that user actions are essentially driven by certain underlying intentions (e.g., diet and entertainment).  Moreover, different intentions may influence each other while different choices usually have different utilities to accomplish an  intention.   Inspired by such psychological insights, we formalize the next-basket prediction as an Intention Recognition, Modelling and Accomplishing problem and  further design the Intention2Basket (Int2Ba in short) model. In Int2Ba, an Intention Recognizer, a Coupled Intention Chain Net, and a Dynamic Basket Planner are specifically designed to respectively recognize, model and accomplish the heterogeneous intentions behind a sequence of baskets to better plan the next-basket. Extensive experiments on real-world datasets show the superiority of Int2Ba over the state-of-the-art approaches.<\/jats:p>","DOI":"10.24963\/ijcai.2020\/323","type":"proceedings-article","created":{"date-parts":[[2020,7,8]],"date-time":"2020-07-08T12:12:10Z","timestamp":1594210330000},"page":"2333-2339","source":"Crossref","is-referenced-by-count":47,"title":["Intention2Basket: A Neural Intention-driven Approach for Dynamic Next-basket Planning"],"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-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}","theme":"Artificial Intelligence","location":"Yokohama, Japan","acronym":"IJCAI-PRICAI-2020","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2020,7,11]]},"end":{"date-parts":[[2020,7,17]]}},"container-title":["Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2020,7,9]],"date-time":"2020-07-09T02:14:28Z","timestamp":1594260868000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2020\/323"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2020\/323","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}