A data mining framework for building a Web-page recommender system

Choochart Haruechaiyasak; Mei Ling Shyu; Shu Ching Chen

A data mining framework for building a Web-page recommender system

Choochart Haruechaiyasak, Mei Ling Shyu, Shu Ching Chen

Electrical and Computer Engineering

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

9 Scopus citations

Abstract

In this paper, we propose a new framework based on data mining algorithms for building a Web-page recommender system. A recommender system is an intermediary program (or an agent) with a user interface that automatically and intelligently generates a list of information which suits an individual's needs. Two information filtering methods for providing the recommended information are considered: (1) by analyzing the information content, i.e., content-based filtering, and (2) by referencing other user access behaviors, i.e., collaborative filtering. By using the data mining algorithms, the information filtering processes can be performed prior to the actual recommending process. As a result, the system response time could be improved and thus, making the framework scalable.

Original language	English (US)
Title of host publication	Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
Editors	A.M. Memon, N. Zhao
Pages	357-362
Number of pages	6
State	Published - Dec 1 2004
Event	Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004 - Las Vegas, NV, United States Duration: Nov 8 2004 → Nov 10 2004

Publication series

Name	Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004

Other

Other	Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004
Country	United States
City	Las Vegas, NV
Period	11/8/04 → 11/10/04

ASJC Scopus subject areas

Engineering(all)

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Cite this

Haruechaiyasak, C., Shyu, M. L., & Chen, S. C. (2004). A data mining framework for building a Web-page recommender system. In A. M. Memon, & N. Zhao (Eds.), Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004 (pp. 357-362). (Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004).

A data mining framework for building a Web-page recommender system. / Haruechaiyasak, Choochart; Shyu, Mei Ling; Chen, Shu Ching.

Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004. ed. / A.M. Memon; N. Zhao. 2004. p. 357-362 (Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004).

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

Haruechaiyasak, C, Shyu, ML & Chen, SC 2004, A data mining framework for building a Web-page recommender system. in AM Memon & N Zhao (eds), Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004. Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004, pp. 357-362, Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004, Las Vegas, NV, United States, 11/8/04.

Haruechaiyasak, Choochart ; Shyu, Mei Ling ; Chen, Shu Ching. / A data mining framework for building a Web-page recommender system. Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004. editor / A.M. Memon ; N. Zhao. 2004. pp. 357-362 (Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, IRI-2004).

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