The study of personalized information recommendation system based on data mining

Ke Chen; Wende Ke; Sansi Li

doi:10.1117/12.920104

12 January 2012 The study of personalized information recommendation system based on data mining

Ke Chen, Wende Ke, Sansi Li

Proceedings Volume 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies; 835003 (2012) https://doi.org/10.1117/12.920104
Event: Fourth International Conference on Machine Vision (ICMV 11), 2011, Singapore, Singapore

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.

Citation Download Citation

Ke Chen, Wende Ke, and Sansi Li "The study of personalized information recommendation system based on data mining", 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); https://doi.org/10.1117/12.920104

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