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

Xiaohui Li; Tomohiro Murata

doi:10.1109/ICIEEM.2010.5646618

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

Xiaohui Li^*, Tomohiro Murata

^*Corresponding author for this work

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 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 language	English
Title of host publication	Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
Pages	65-69
Number of pages	5
DOIs	https://doi.org/10.1109/ICIEEM.2010.5646618
Publication status	Published - 2010 Dec 31
Event	17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen, China Duration: 2010 Oct 29 → 2010 Oct 31

Publication series

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

Conference

Conference	17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
Country/Territory	China
City	Xiamen
Period	10/10/29 → 10/10/31

Keywords

Behavior tracking
Customizing recommendation
Formal concept analysis
Knowledge repository

ASJC Scopus subject areas

Industrial and Manufacturing Engineering

Access to Document

10.1109/ICIEEM.2010.5646618

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

Customizing knowledge-based recommender system by tracking analysis of user behavior. / Li, Xiaohui; Murata, Tomohiro.
Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010. 2010. p. 65-69 5646618 (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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., 5646618, Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010, pp. 65-69, 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010, Xiamen, China, 10/10/29. https://doi.org/10.1109/ICIEEM.2010.5646618

Li X, Murata T. 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. 2010. p. 65-69. 5646618. (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010). doi: 10.1109/ICIEEM.2010.5646618

Li, Xiaohui ; Murata, Tomohiro. / Customizing knowledge-based recommender system by tracking analysis of user behavior. Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010. 2010. pp. 65-69 (Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010).

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

Abstract

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Keywords

ASJC Scopus subject areas

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