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

^*この研究の対応する著者

大学院情報生産システム研究科

研究成果: Conference contribution

10 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010
ページ	65-69
ページ数	5
DOI	https://doi.org/10.1109/ICIEEM.2010.5646618
出版ステータス	Published - 2010 12月 31
イベント	17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 - Xiamen, China 継続期間: 2010 10月 29 → 2010 10月 31

出版物シリーズ

名前	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
国/地域	China
City	Xiamen
Period	10/10/29 → 10/10/31

ASJC Scopus subject areas

産業および生産工学

文献へのアクセス

10.1109/ICIEEM.2010.5646618

他のファイルとリンク

引用スタイル

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).

研究成果: 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

抄録

出版物シリーズ

Conference

ASJC Scopus subject areas

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