Toward affective recommendation: A contextual association approach for eliciting user preference

Xiaohui Li, Tomohiro Murata

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

The explosive growth of recommender systems has resulted in realization of individualized service as commercial patterns and research prototypes. However, the traditional recommendation approaches are overemphasized the similarity between user preference and items feature. They are completely ignored affectivity that was a crucial factor. Our study focuses on exploring a new affective recommendation approach of semantic associated extension by integrating the Spreading Activation model with knowledge of cognitive psychology for the real-time preference-aware. This paper presents an affectivity-based recommendation approach to eliciting a characteristic sequence consisted of color nodes mapping the relationships between user preference with his mood and items feature. Predominance of our proposal was illustrated through an instantiation of movie recommender system that was developed based on the proposed approach. The testing results of performance show that our affectivity-based recommendation approach outperformed the traditional collaborative filtering approach in terms of the accuracy. This paper also presents a novel insight into exploitation of rich repository of domain-specific knowledge to provide real-time recommendation for user.

本文言語English
ホスト出版物のタイトルInternational Conference on Information Society, i-Society 2011
ページ47-54
ページ数8
出版ステータスPublished - 2011 9 14
イベントInternational Conference on Information Society, i-Society 2011 - London, United Kingdom
継続期間: 2011 6 272011 6 29

出版物シリーズ

名前International Conference on Information Society, i-Society 2011

Conference

ConferenceInternational Conference on Information Society, i-Society 2011
国/地域United Kingdom
CityLondon
Period11/6/2711/6/29

ASJC Scopus subject areas

  • 情報システム
  • 社会科学(その他)

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