{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,11,10]],"date-time":"2024-11-10T06:40:21Z","timestamp":1731220821834,"version":"3.28.0"},"reference-count":0,"publisher":"Zarqa University","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IAJIT"],"published-print":{"date-parts":[[2024]]},"abstract":"<jats:p>Session-based recommendations are used to convert complex items by using the graph neural network, where this also involves combining session-level and global-level information to discover user preferences. However, this ap-proach en-counters certain problems. A user with extensive interests should be offered more than one recommendation of candidate items. We propose a neural network-based model to fuse candidate items based on this premise. We first use a graph neural network to acquire session-level and global-level information, and then use an attention mechanism to obtain a representation of candidate items recommended to the user. Finally, we integrate the candidate-level, glob-al-level, and session-level information to acquire rich information on the items in the given session. Extensive tests on three empirically ac-quired datasets showed that our model is superior to baseline models in most cases.<\/jats:p>","DOI":"10.34028\/iajit\/21\/6\/7","type":"journal-article","created":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T07:30:36Z","timestamp":1729495836000},"source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Session-Based Recommendations by Fusing Candidate Items"],"prefix":"10.34028","volume":"21","author":[{"given":"Yingjuan","family":"Sun","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wanhua","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingqi","family":"Xing","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bangzuo","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dongbing","family":"Pu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qian","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinghui","family":"Sun","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"19944","published-online":{"date-parts":[[2024]]},"container-title":["The International Arab Journal of Information Technology"],"original-title":[],"language":"en","deposited":{"date-parts":[[2024,11,10]],"date-time":"2024-11-10T06:11:21Z","timestamp":1731219081000},"score":1,"resource":{"primary":{"URL":"https:\/\/iajit.org\/upload\/files\/Enhancing-Session-Based-Recommendations-by-Fusing-Candidate-Items.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":0,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024]]},"published-print":{"date-parts":[[2024]]}},"URL":"https:\/\/doi.org\/10.34028\/iajit\/21\/6\/7","archive":["Internet Archive"],"relation":{},"ISSN":["2309-4524","1683-3198"],"issn-type":[{"type":"electronic","value":"2309-4524"},{"type":"print","value":"1683-3198"}],"subject":[],"published":{"date-parts":[[2024]]}}}