Paper Title:
Personalized Web Information Recommendation Based on Data Mining
  Abstract

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
Authors
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Price
$32.00
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