Great Explanations: Opinionated Explanations for Recommendations

Autor:	Aonghus Lawlor, Khalil Muhammad, Rachael Rafter, Barry Smyth
Rok vydání:	2015
Předmět:	Ranking Process (engineering) Computer science Sentiment analysis Context (language use) Case-based reasoning Recommender system Data science
Zdroj:	Case-Based Reasoning Research and Development ISBN: 9783319245850 ICCBR
DOI:	10.1007/978-3-319-24586-7_17
Popis:	Explaining recommendations helps users to make better decisions. We describe a novel approach to explanation for recommender systems, one that drives the recommendation ranking process, while at the same time providing the user with useful insights into the reason why items have been recommended and the trade-offs they may need to consider when making their choice. We describe this approach in the context of a case-based recommender system that harnesses opinions mined from user-generated reviews, and evaluate it on TripAdvisor hotel data.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::479db3b812ff199e8aa5d25e077404e9 https://doi.org/10.1007/978-3-319-24586-7_17 Zobrazit plný text záznamu