Personalized Web Information Recommendation Based on Data Mining

Abstract:

Article Preview

Personalized web information recommendation service had becoming an important research task increasingly as the time goes by. This paper established user profiles and put forward a recommendation strategy. On the base of these, the paper designed a personalized web information recommendation system based on data mining, namely, PWIRS. The experimental results indicate that the recommendation strategy of PWIRS is feasible.

Info:

Periodical:

Advanced Materials Research (Volumes 225-226)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

546-549

DOI:

10.4028/www.scientific.net/AMR.225-226.546

Citation:

B. He "Personalized Web Information Recommendation Based on Data Mining", Advanced Materials Research, Vols. 225-226, pp. 546-549, 2011

Online since:

April 2011

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Price:

$35.00

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