Opinionated Explanations for Recommendation Systems

Autor:	Khalil Muhammad, Rachael Rafter, Barry Smyth, Aonghus Lawlor
Rok vydání:	2015
Předmět:	Information retrieval Computer science Recommender system Construct (philosophy)
Zdroj:	Research and Development in Intelligent Systems XXXII ISBN: 9783319250304 SGAI Conf.
DOI:	10.1007/978-3-319-25032-8_25
Popis:	This paper describes a novel approach for generating explanations for recommender systems based on opinions in user-generated reviews. We show how these opinions can be used to construct helpful and compelling explanations at recommendation time. The explanation highlights how the pros and cons of a recommended item compares to alternative items. We propose a way to score these explanations based on their content. The scores help to identify compelling explanations, providing a strong reason why the item being explained is better or worse than the alternatives. We describe the results of offline experiments and a live-user study based on TripAdvisor data to demonstrate the usefulness of this approach.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::e50c70363c3d334d183511f70600f34e https://doi.org/10.1007/978-3-319-25032-8_25 Zobrazit plný text záznamu