DocumentCode :
1564500
Title :
An Approach for the Implementation of Personalization Recommendation of Text Information Retrieval With TextCC
Author :
Zhang, Zhenya ; Zhang, Shuguang ; Wang, Xufa ; Chen, Shuangping ; Cheng, Hongmei
Author_Institution :
Microsoft Key Lab. of Multimedia Comput. & Commun., Univ. of Sci. & Technol. of China, Hefei
Volume :
2
fYear :
2005
Firstpage :
754
Lastpage :
758
Abstract :
To implement personalization recommendation of text information retrieval (TR) based in user-focus, TextCC, a feedforward 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
Keywords :
feedforward neural nets; information retrieval; word processing; TextCC; feedforward neural network; personalization recommendation; text information retrieval; Equations; Feedforward neural networks; Feeds; Information retrieval; Network topology; Neural networks; Neurons; Probes; Search engines; Web search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
Type :
conf
DOI :
10.1109/ICNNB.2005.1614735
Filename :
1614735
Link To Document :
بازگشت