Generating Personalized Summaries Using Publicly Available Web Documents

Chandan Kumar, Prasad Pingali, Vasudeva Varma
2008 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology  
Many Knowledge workers are increasingly using online resources to find out latest developments in their specialty and articles of interest. To extract relevant information from such multiple online information sources summarization is being used. Current summarization systems produce a uniform version of summary for all users. However summaries which are generic in nature do not cater to the user's background and interests. In this paper we propose to make the summarization process user
more » ... and present a design for generating personalized summaries of online articles that are tailored to each person's interest. The user's data available on web is used for model their background and interest. A controlled user-centered qualitative evaluation carried out on news articles of science and technology domain, indicates better user satisfaction with personalized summaries compared to generic summaries.
doi:10.1109/wiiat.2008.332 dblp:conf/iat/KumarPV08 fatcat:x6d2bzypvffadhfsy2phwv6sam