Customizing knowledge-based recommender system by tracking analysis of user behavior

Xiaohui Li, Tomohiro Murata

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

7 Citations (Scopus)

Abstract

In this paper, we reviewed the major problems in the existing recommender systems and presented a tracking recommender approach based on user's behavior information and two-level property of items. Our proposed approach defined user profile model, knowledge resources model and constructed Formal Concept Analysis (FCA) mapping to guide a personalized recommendation for user. We simulated a prototype recommender system that can make the quality recommendation by tracking user's behavior. The experimental result showed our strategy was more robust against the drawbacks and preponderant than conventional recommender systems.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
Pages65-69
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 31
Event17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen, China
Duration: 2010 Oct 292010 Oct 31

Publication series

NameProceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010

Conference

Conference17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
CountryChina
CityXiamen
Period10/10/2910/10/31

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Keywords

  • Behavior tracking
  • Customizing recommendation
  • Formal concept analysis
  • Knowledge repository

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

Cite this

Li, X., & Murata, T. (2010). Customizing knowledge-based recommender system by tracking analysis of user behavior. In Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 (pp. 65-69). [5646618] (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010). https://doi.org/10.1109/ICIEEM.2010.5646618