Incorporating affectivity into preference elicitation for personalizesd recommendation via spreading activation

Xiaohui Li*, Tomohiro Murata

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Personalized recommender system is an indispensable application and re-shaping the world in e-commerce scopes. Following a brief review of approaches to elucidate personalized recommendation, our research work focuses on exploring a new approach of semantically associated extension by integrating the Spreading Activation model with the knowledge of chromatology to dynamically acquire the information of user preference. We attempt to apply a characteristic sequence consisted of color nodes mapping the relationships between user mood preference and item feature and illustrated the proposed approach through an instantiation of movie recommendation. This paper presents a novel insight into exploitation of rich repository of the domain-specific knowledge to elicit optimum recommendation for user.

本文言語English
ホスト出版物のタイトルICCRD2011 - 2011 3rd International Conference on Computer Research and Development
ページ268-273
ページ数6
DOI
出版ステータスPublished - 2011 5 31
イベント2011 3rd International Conference on Computer Research and Development, ICCRD 2011 - Shanghai, China
継続期間: 2011 3 112011 3 15

出版物シリーズ

名前ICCRD2011 - 2011 3rd International Conference on Computer Research and Development
4

Conference

Conference2011 3rd International Conference on Computer Research and Development, ICCRD 2011
国/地域China
CityShanghai
Period11/3/1111/3/15

ASJC Scopus subject areas

  • コンピュータ サイエンスの応用

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