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Explanations of Recommendations Considering Human Factors in Recommender Systems

Authors:
Muhammet Tugberk Isyapar

Keywords: Recommender systems; recommendation algorithms; design and evaluation of recommender systems; explanations; human factors

Abstract:
Traditional evaluation metrics based on statistical formulas employed to assess the performance of a recommender system are now considered to be inadequate when utilized solely. New metrics considering the quality of user-system interaction alongside with traditional ones have been proposed in evaluation process in order to arrive at more adequate results. Generating explanations for recommendations is a research topic that has emerged as a way to evaluate the system with respect to various criteria considering users’ opinions and feelings. This paper presents the state-of-the-art with respect to the explanation of a recommendation.

Pages: 190 to 197

Copyright: Copyright (c) IARIA, 2013

Publication date: January 27, 2013

Published in: conference

ISSN: 2308-4332

ISBN: 978-1-61208-247-9

Location: Seville, Spain

Dates: from January 27, 2013 to February 1, 2013