Proposal of personal-value-based item modeling and its application to explanation of recommendation

This paper proposes a personal-value based item modeling, which is used for explaining recommendation. In recent years, studies on improvements of user's satisfactions for recommender systems by showing process of recommendation have been popular in addition to precision of recommendation. The...

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Bibliographic Details
Published in2015 Conference on Technologies and Applications of Artificial Intelligence (TAAI) pp. 58 - 63
Main Authors Yamaguchi, Takayuki, Hattori, Shunichi, Takama, Yasufumi
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.11.2015
Subjects
Artificial intelligence
association rule
Collaboration
Conferences
Expert systems
Filtering
Indexes
item model
Modelling
personal values
Proposals
Recommendations
recommender system
Recommender systems
User satisfaction
Visualization
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Summary:This paper proposes a personal-value based item modeling, which is used for explaining recommendation. In recent years, studies on improvements of user's satisfactions for recommender systems by showing process of recommendation have been popular in addition to precision of recommendation. The proposed method extracts personal values of reviewers of a movie as the influence of movie's attribute on its total evaluation. This paper also examines the applicability of the extracted item model to explain recommendation by collaborative filtering.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Conference-1
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content type line 23
SourceType-Conference Papers & Proceedings-2
ISSN:2376-6824
DOI:10.1109/TAAI.2015.7407093