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Personalized News Filtering and Summarization on the Web

Published: 07 November 2011 Publication History

Abstract

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.

Cited By

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  • (2022)Keyword Extraction for Medium-Sized Documents Using Corpus-Based Contextual Semantic SmoothingComplexity10.1155/2022/70157642022Online publication date: 1-Jan-2022
  • (2018)Social Network Based Crowd Sensing for Intelligent Transportation and Climate ApplicationsMobile Networks and Applications10.1007/s11036-017-0832-y23:1(177-183)Online publication date: 1-Feb-2018
  • (2017)Recommending Personalized News in Short User SessionsProceedings of the Eleventh ACM Conference on Recommender Systems10.1145/3109859.3109894(121-129)Online publication date: 27-Aug-2017
  • Show More Cited By

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Published In

cover image Guide Proceedings
ICTAI '11: Proceedings of the 2011 IEEE 23rd International Conference on Tools with Artificial Intelligence
November 2011
1111 pages
ISBN:9780769545967

Publisher

IEEE Computer Society

United States

Publication History

Published: 07 November 2011

Author Tags

  1. Personalized News
  2. Web News Filtering
  3. Web News Summarization

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Cited By

View all
  • (2022)Keyword Extraction for Medium-Sized Documents Using Corpus-Based Contextual Semantic SmoothingComplexity10.1155/2022/70157642022Online publication date: 1-Jan-2022
  • (2018)Social Network Based Crowd Sensing for Intelligent Transportation and Climate ApplicationsMobile Networks and Applications10.1007/s11036-017-0832-y23:1(177-183)Online publication date: 1-Feb-2018
  • (2017)Recommending Personalized News in Short User SessionsProceedings of the Eleventh ACM Conference on Recommender Systems10.1145/3109859.3109894(121-129)Online publication date: 27-Aug-2017
  • (2013)Web news extraction via path ratiosProceedings of the 22nd ACM international conference on Information & Knowledge Management10.1145/2505515.2505558(2059-2068)Online publication date: 27-Oct-2013
  • (2013)A probabilistic graphical model for brand reputation assessment in social networksProceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining10.1145/2492517.2492556(223-230)Online publication date: 25-Aug-2013
  • (2012)An experience developing a semantic annotation system in a media groupProceedings of the 17th international conference on Applications of Natural Language Processing and Information Systems10.1007/978-3-642-31178-9_43(333-338)Online publication date: 26-Jun-2012

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