DocumentCode :
389238
Title :
Personal agent for highlighting interesting words
Author :
Peng, Xiao ; Chen, Zheng ; Ma, Shao-Ping ; Liu, Wen-Yin ; Ma, Wei-Ying
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Beijing, China
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
572
Abstract :
We present a personal intelligent agent which automatically highlights the words that are interesting to a particular user while he/she is browsing web pages. The visited web page is first classified into one of several pre-defined categories according to its content. Since each category is described by a set of keywords, which are user-dependent and detected by a statistical learning approach, the agent can highlight the page using these interesting keywords for fast browsing. Our experiments show that this personalized way of highlighting words in a web page enhances the user´s browsing experience.
Keywords :
data mining; learning (artificial intelligence); search engines; software agents; user modelling; Web agent; Web mining; Web navigation; intelligent information agents; statistical learning; user modeling; web browsing; Asia; Computer science; Information retrieval; Intelligent agent; Intelligent systems; Navigation; Statistical learning; Testing; Web mining; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2002. Proceedings. 2002 International Conference on
Print_ISBN :
0-7803-7508-4
Type :
conf
DOI :
10.1109/ICMLC.2002.1174400
Filename :
1174400
Link To Document :
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