{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T16:35:04Z","timestamp":1784392504818,"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":[[2019,8]]},"abstract":"<jats:p>The emerging topic of sequential recommender systems (SRSs) has attracted increasing attention in recent years. Different from the conventional recommender systems (RSs) including collaborative filtering and content-based filtering, SRSs try to understand and model the sequential user behaviors, the interactions between users and items, and the evolution of users\u2019 preferences and item popularity over time. SRSs involve the above aspects for more precise characterization of user contexts, intent and goals, and item consumption trend, leading to more accurate, customized and dynamic recommendations. In this paper, we provide a systematic review on SRSs. We first present the characteristics of SRSs, and then summarize and categorize the key challenges in this research area, followed by the corresponding research progress consisting of the most recent and representative developments on this topic. Finally, we discuss the important research directions in this vibrant area.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/883","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T03:46:05Z","timestamp":1564285565000},"page":"6332-6338","source":"Crossref","is-referenced-by-count":360,"title":["Sequential Recommender Systems: Challenges, Progress and Prospects"],"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":"Longbing","family":"Cao","sequence":"additional","affiliation":[{"name":"Advanced Analytics Institute, University of Technology Sydney"}],"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"}]}],"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":"2019-07-28T03:52:27Z","timestamp":1564285947000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/883"}},"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\/883","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}