A knowledge-based recommendation model utilizing formal concept analysis and association

Xiaohui Li, Tomohiro Murata

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

8 Citations (Scopus)

Abstract

In this paper, we proposed a novel recommendation model based the synergistic use of knowledge from repository which includes users behavior and items property. This model defined user profile and item profile, and constructed the candidate recommendation set by using Formal Concept Analysis and extended inference. We attempted to apply FCA mapping the relationship between user's preference and item feature, and conducted a case to illustrate the proposed model. Finally, we summarized the advantage of this model and discussed the recommendation strategy for different situation.

Original languageEnglish
Title of host publication2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Pages221-226
Number of pages6
Volume4
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Computer and Automation Engineering, ICCAE 2010 - Singapore
Duration: 2010 Feb 262010 Feb 28

Other

Other2nd International Conference on Computer and Automation Engineering, ICCAE 2010
CitySingapore
Period10/2/2610/2/28

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Keywords

  • Associative inference
  • Correlation
  • Formal concept analysis
  • Recommender system

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering

Cite this

Li, X., & Murata, T. (2010). A knowledge-based recommendation model utilizing formal concept analysis and association. In 2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010 (Vol. 4, pp. 221-226). [5451721] https://doi.org/10.1109/ICCAE.2010.5451721