User and Item Modeling Methods Using Customer Reviews towards Recommender System Based on Personal Values

This paper proposes user and item modeling methods towards recommender systems based on personal values. Marketing fields have been taking notice of personal values, because that such values are significantly related to user preference. While existing recommender systems usually employ user preferen...

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Bibliographic Details
Published in2012 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology Vol. 3; pp. 83 - 86
Main Authors Hattori, S., Takama, Y.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
Subjects
item modeling
personal values
recommender system
user modeling
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Summary:This paper proposes user and item modeling methods towards recommender systems based on personal values. Marketing fields have been taking notice of personal values, because that such values are significantly related to user preference. While existing recommender systems usually employ user preference of items to make recommendations, proposed method focuses on users' personal values, which mean value judgments that show what attributes users put a high priority. The influence of each attribute on item evaluation is determined based on correspondence between ratings for item and the attribute. The proposed method is applied to actual review data, of which results supports the assumption that different users put high priorities on different attributes.
ISBN:9781467360579
1467360570
DOI:10.1109/WI-IAT.2012.106