Incorporating affectivity into preference elicitation for personalizesd recommendation via spreading activation

Xiaohui Li, Tomohiro Murata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationICCRD2011 - 2011 3rd International Conference on Computer Research and Development
Pages268-273
Number of pages6
DOIs
Publication statusPublished - 2011 May 31
Event2011 3rd International Conference on Computer Research and Development, ICCRD 2011 - Shanghai, China
Duration: 2011 Mar 112011 Mar 15

Publication series

NameICCRD2011 - 2011 3rd International Conference on Computer Research and Development
Volume4

Conference

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

Keywords

  • cognitive psychology
  • color sequence
  • personalized recommendation
  • spreading activation

ASJC Scopus subject areas

  • Computer Science Applications

Fingerprint Dive into the research topics of 'Incorporating affectivity into preference elicitation for personalizesd recommendation via spreading activation'. Together they form a unique fingerprint.

  • Cite this

    Li, X., & Murata, T. (2011). Incorporating affectivity into preference elicitation for personalizesd recommendation via spreading activation. In ICCRD2011 - 2011 3rd International Conference on Computer Research and Development (pp. 268-273). [5763910] (ICCRD2011 - 2011 3rd International Conference on Computer Research and Development; Vol. 4). https://doi.org/10.1109/ICCRD.2011.5763910