{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T05:17:59Z","timestamp":1784179079414,"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>Session-based recommendation, which aims to predict the user's immediate next action based on anonymous sessions, is a key task in many online services (e.g., e-commerce, media streaming).\u00a0 Recently, Self-Attention Network (SAN) has achieved significant success in various sequence modeling tasks without using either recurrent or convolutional network. However, SAN lacks local dependencies that exist over adjacent items and limits its capacity for learning contextualized representations of items in sequences.\u00a0 In this paper, we propose a graph contextualized self-attention model (GC-SAN), which utilizes both graph neural network and self-attention mechanism, for session-based recommendation. In GC-SAN, we dynamically construct a graph structure for session sequences and capture rich local dependencies via graph neural network (GNN).\u00a0 Then each session learns long-range dependencies by applying the self-attention mechanism. Finally, each session is represented as a linear combination of the global preference and the current interest of that session. Extensive experiments on two real-world datasets show that GC-SAN outperforms state-of-the-art methods consistently.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/547","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:05Z","timestamp":1564299965000},"page":"3940-3946","source":"Crossref","is-referenced-by-count":482,"title":["Graph Contextualized Self-Attention Network for Session-based Recommendation"],"prefix":"10.24963","author":[{"given":"Chengfeng","family":"Xu","sequence":"first","affiliation":[{"name":"Institute of AI, School of Computer Science and Technology, Soochow University, China"},{"name":"Zhejiang Lab, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pengpeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Institute of AI, School of Computer Science and Technology, Soochow University, China"},{"name":"Zhejiang Lab, China"},{"name":"Key Lab of IIP of CAS, Institute of Computing Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanchi","family":"Liu","sequence":"additional","affiliation":[{"name":"Rutgers University, New Jersey, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Victor S.","family":"Sheng","sequence":"additional","affiliation":[{"name":"The University of Central Arkansas, Conway, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiajie","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of AI, School of Computer Science and Technology, Soochow University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuzhen","family":"Zhuang","sequence":"additional","affiliation":[{"name":"Key Lab of IIP of CAS, Institute of Computing Technology, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Junhua","family":"Fang","sequence":"additional","affiliation":[{"name":"Institute of AI, School of Computer Science and Technology, Soochow University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaofang","family":"Zhou","sequence":"additional","affiliation":[{"name":"The University of Queensland, Brisbane, Australia"},{"name":"Zhejiang Lab, China"}],"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":"2019-07-28T07:50:02Z","timestamp":1564300202000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/547"}},"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\/547","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}