{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T09:10:10Z","timestamp":1766049010675},"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":[[2018,7]]},"abstract":"<jats:p>A significant problem of recommender systems is their inability to explain recommendations, resulting in turn in ineffective feedback from users and the inability to adapt to users\u2019 preferences. We propose a hybrid method for calculating predicted ratings, built upon an item\/aspect-based graph with users\u2019 partially given ratings, that can be naturally used to provide explanations for recommendations, extracted from user-tailored Tripolar Argumentation Frameworks (TFs). We show that our method can be understood as a gradual semantics for TFs, exhibiting a desirable, albeit weak, property of balance. We also show experimentally that our method is competitive in generating correct predictions, compared with state-of-the-art methods, and illustrate how users can interact with the generated explanations to improve quality of recommendations.<\/jats:p>","DOI":"10.24963\/ijcai.2018\/269","type":"proceedings-article","created":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:49:10Z","timestamp":1530755350000},"page":"1949-1955","source":"Crossref","is-referenced-by-count":29,"title":["Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them"],"prefix":"10.24963","author":[{"given":"Antonio","family":"Rago","sequence":"first","affiliation":[{"name":"Department of Computing, Imperial College London, UK"}]},{"given":"Oana","family":"Cocarascu","sequence":"additional","affiliation":[{"name":"Department of Computing, Imperial College London, UK"}]},{"given":"Francesca","family":"Toni","sequence":"additional","affiliation":[{"name":"Department of Computing, Imperial College London, UK"}]}],"member":"10584","event":{"number":"27","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2018","name":"Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}","start":{"date-parts":[[2018,7,13]]},"theme":"Artificial Intelligence","location":"Stockholm, Sweden","end":{"date-parts":[[2018,7,19]]}},"container-title":["Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2018,7,5]],"date-time":"2018-07-05T01:51:23Z","timestamp":1530755483000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2018\/269"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2018,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2018\/269","relation":{},"subject":[],"published":{"date-parts":[[2018,7]]}}}