TY - GEN
T1 - Personalized news filtering and summarization on the Web
AU - Wu, Xindong
AU - Xie, Fei
AU - Wu, Gongqing
AU - Ding, Wei
PY - 2011
Y1 - 2011
N2 - Information on the World Wide Web is congested with large amounts of news contents. Recommendation, filtering, and summarization of Web news have received much attention in Web intelligence, aiming to find interesting news and summarize concise content for users. In this paper, we present our research on developing the Personalized News Filtering and Summarization system (PNFS). An embedded learning component of PNFS induces a user interest model and recommends personalized news. A keyword knowledge base is maintained and provides a real-time update to reflect the general Web news topic information and the user's interest preferences. The non-news content irrelevant to the news Web page is filtered out. Keywords that capture the main topic of the news are extracted using lexical chains to represent semantic relations between words. An Example run of our PNFS system demonstrates the superiority of this Web intelligence system.
AB - Information on the World Wide Web is congested with large amounts of news contents. Recommendation, filtering, and summarization of Web news have received much attention in Web intelligence, aiming to find interesting news and summarize concise content for users. In this paper, we present our research on developing the Personalized News Filtering and Summarization system (PNFS). An embedded learning component of PNFS induces a user interest model and recommends personalized news. A keyword knowledge base is maintained and provides a real-time update to reflect the general Web news topic information and the user's interest preferences. The non-news content irrelevant to the news Web page is filtered out. Keywords that capture the main topic of the news are extracted using lexical chains to represent semantic relations between words. An Example run of our PNFS system demonstrates the superiority of this Web intelligence system.
KW - Personalized News
KW - Web News Filtering
KW - Web News Summarization
UR - https://www.scopus.com/pages/publications/84862934115
UR - https://www.scopus.com/pages/publications/84862934115#tab=citedBy
U2 - 10.1109/ICTAI.2011.68
DO - 10.1109/ICTAI.2011.68
M3 - Conference contribution
AN - SCOPUS:84862934115
SN - 9780769545967
T3 - Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
SP - 414
EP - 421
BT - Proceedings - 2011 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
T2 - 23rd IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2011
Y2 - 7 November 2011 through 9 November 2011
ER -