{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,10]],"date-time":"2026-02-10T18:29:01Z","timestamp":1770748141872,"version":"3.49.0"},"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>As AI systems become ever more intertwined in our personal lives, the way in which they explain themselves to and interact with humans is an increasingly critical research area. The explanation of recommendations is thus a pivotal functionality in a user\u2019s experience of a recommender system (RS), providing the possibility of enhancing many of its desirable features in addition to its effectiveness (accuracy wrt users\u2019 preferences). For an RS that we prove empirically is effective, we show how argumentative abstractions underpinning recommendations can provide the structural scaffolding for (different types of) interactive explanations (IEs), i.e. explanations supporting interactions with users. We prove formally that these IEs empower feedback mechanisms that guarantee that recommendations will improve with time, hence rendering the RS scrutable. Finally, we prove experimentally that the various forms of IE (tabular, textual and conversational) induce trust in the recommendations and provide a high degree of transparency in the RS\u2019s functionality.<\/jats:p>","DOI":"10.24963\/kr.2020\/83","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T04:39:16Z","timestamp":1597898356000},"page":"805-815","source":"Crossref","is-referenced-by-count":13,"title":["Argumentation as a Framework for Interactive Explanations for Recommendations"],"prefix":"10.24963","author":[{"given":"Antonio","family":"Rago","sequence":"first","affiliation":[{"name":"Imperial College London"}]},{"given":"Oana","family":"Cocarascu","sequence":"additional","affiliation":[{"name":"Imperial College London"}]},{"given":"Christos","family":"Bechlivanidis","sequence":"additional","affiliation":[{"name":"University College London"}]},{"given":"Francesca","family":"Toni","sequence":"additional","affiliation":[{"name":"Imperial College London"}]}],"member":"10584","event":{"name":"17th International Conference on Principles of Knowledge Representation and Reasoning {KR-2020}","theme":"Artificial Intelligence","location":"Rhodes, Greece","acronym":"KR-2020","number":"17","sponsor":["Artificial Intelligence Journal","Principles of Knowledge Representation and Reasoning Inc.","Association for Logic Programming","Center for Perspicuous Computing","European Association for Artificial Intelligence","Ontopic - The Virtual Knowledge Graph Company"],"start":{"date-parts":[[2020,9,12]]},"end":{"date-parts":[[2020,9,18]]}},"container-title":["Proceedings of the Seventeenth International Conference on Principles of Knowledge Representation and Reasoning"],"original-title":[],"deposited":{"date-parts":[[2020,11,5]],"date-time":"2020-11-05T21:18:49Z","timestamp":1604611129000},"score":1,"resource":{"primary":{"URL":"https:\/\/proceedings.kr.org\/2020\/83"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/kr.2020\/83","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}