Personalized Web Information Recommendation Based on Data Mining

被引：0
|
作者：
He, Bo [1 ]
机构：
[1] ChongQing Univ Technol, Sch Comp Sci & Engn, Chongqing 400054, Peoples R China
来源：
ADVANCED RESEARCH ON AUTOMATION, COMMUNICATION, ARCHITECTONICS AND MATERIALS, PTS 1 AND 2 | 2011年 / 225-226卷 / 1-2期
关键词：
Data mining; Personalized information recommendation; Personalized active information service;
D O I：
10.4028/www.scientific.net/AMR.225-226.546
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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.
引用
收藏
页码：546 / 549
页数：4
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