{"type":"ScholarlyArticle","title":"User-Based Opinion-based Recommendation","authors":[{"name":"Ruihai Dong","slug":"ruihai-dong","given":"Ruihai","family":"Dong","affiliation":"Insight Centre for Data Analytics School of Computer Science , University College Dublin , Ireland"},{"name":"Barry Smyth","slug":"barry-smyth","given":"Barry","family":"Smyth","affiliation":"Insight Centre for Data Analytics School of Computer Science , University College Dublin , Ireland"}],"abstract":"User-generated reviews are a plentiful source of user opinions and interests and can play an important role in a range of artificial intelligence contexts, particularly when it comes to recommender systems. In this paper, we describe how natural language processing and opinion mining techniques can be used to automatically mine useful recommendation knowledge from user generated reviews and how this information can be used by recommender systems in a number of classical settings.","doi":"10.24963/ijcai.2017/674","url":"https://ijcai.org/proceedings/2017/674","pdf":"https://ijcai.org/proceedings/2017/0674.pdf","markdown":"https://ijcai.org/proceedings/2017/674.md","bibtex":"https://ijcai.org/proceedings/2017/bibtex/674","volume":{"slug":"2017","title":"Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2017","url":"https://ijcai.org/proceedings/2017/","year":2017,"location":"Melbourne, Australia","dates":"19-25 August 2017","editors":"Carles Sierra","isbn":"978-0-9992411-0-3","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2017"},"section":"Best Sister Conferences","track":"Best Sister Conferences","number":674,"pages":{"first":4821,"last":4825},"keywords":["Artificial Intelligence: knowledge representation and reasoning","Artificial Intelligence: natural language processing","Artificial Intelligence: other"],"videos":[],"references":[{"position":1,"raw":"[Aciar et al., 2007] Silvana Aciar, Debbie Zhang, Simeon Simoff, and John Debenham. 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