An approach for the implementation of personalization recommendation of text information retrieval with TextCC

被引：0
|
作者：
Zhang, ZY [1 ]
Zhang, SG [1 ]
Wang, XF [1 ]
Chen, SP [1 ]
Cheng, HM [1 ]
机构：
[1] Univ Sci & Technol China, MOE Microsoft Key Lab Multimedia Comp & Commun, Hefei 230027, Peoples R China
来源：
PROCEEDINGS OF THE 2005 INTERNATIONAL CONFERENCE ON NEURAL NETWORKS AND BRAIN, VOLS 1-3 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
To implement personalization recommendation of text information retrieval (TR) based in user-focus, TextCC, a feed forward neural network for instantly classification is adopted to classify query results according to user-focuses of a user in the paper. Experimental results show that the implementation of personalization recommendation with TextCC can lighten the user's burden induced by the work of filtering valid information from vast information in some degree while the time requirement of TR Is satisfied very well.
引用
收藏
页码：754 / 758
页数：5
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