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Proceedings Paper

The study of personalized information recommendation system based on data mining
Author(s): Ke Chen; Wende Ke; Sansi Li
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Paper Abstract

For the current Internet information access of contradictions and difficulties, the study on the basis of the data mining technique and recommender system, propose and implement a facing internet personalization information recommendation system based on data mining. The system is divided into offline and online, offline part to complete the from the site server log files access the appropriate online intelligent personalized recommendation service transaction mode, using the association rules mining. The online part, realizes personalized intelligence recommendation service based on the connection rule excavation. Provides the personalization information referral service method based mining association rules, And through the experiment to this system has carried on the test, has confirmed this system's feasibility and the validity.

Paper Details

Date Published: 12 January 2012
PDF: 8 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835003 (12 January 2012); doi: 10.1117/12.920104
Show Author Affiliations
Ke Chen, Guangdong Univ. of Petrochemical Technology (China)
Wende Ke, Guangdong Univ. of Petrochemical Technology (China)
Sansi Li, Guangdong Univ. of Petrochemical Technology (China)


Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)

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