Qiang Ma
ABSTRACT
In this paper, we propose a new way of integrating cross-media news content, such as television programs and web pages. We search cross-media news content to find complementary items which can provide additional information to users interested in a particular topic. The complementary news items searched for are not just similar to the item the user is interested in, but also provide information in more detail or from a different perspective. First, we propose a novel content representation model called the "topic structure" model. Intuitively, a topic structure is made up of a pair of subject and content terms. Subject terms denote the dominant terms of a news item. A content term is a term having strong co-occurrence relationships with the subject terms. Based on the topic structure, we search for information related to a given news item (e. g. , one in which the user is interested) from content, context, and media complementation perspectives. We also describe an application system which concurrently presents a television news program along with complementary news articles to help users understand news topics in greater detail and from multiple perspectives.
- ChaSen. http://chasen. aist-nara.ac.jp/index.html.en.Google Scholar
- Google. http://www.google.com.Google Scholar
- M. Henzinger, B. -W. Chang, B. Milch, and S. Brin. Query-free news search. Proceedings of The Twelfth International World Wide Web Conference, 2003. Google ScholarDigital Library
- K. McKeown, R. Barzilay, D. Evans, V. Hatzivassiloglou, J. Klavans, C. Sable, B. Schiffman, and S. Sigelman. Tracking and summarizing news on a daily basis with columbia's newsblaster. In Proc. of the 2002 Human Language Technology Conference (HLT), 2002. Google ScholarDigital Library
- I. Mani, D. House, M. Maybury, and M. Green. Towards content-based browsing of broadcast news video. In Intelligent multimedia information retrieval, Mark Maybury, ed., chapter 12, pages 241--258, 1997. Google ScholarDigital Library
- M. Maybury. Intelligent Multimedia Information Retrieval. AAAI Press and MIT Press, 1997. Google ScholarDigital Library
- NewsBlaster. http://www1. cs. columbia. edu/nlp/newsblaster/.Google Scholar
- S. Oyama and K. Tanaka. Exploiting document structures for comparing and exploring topics on the web. Proceeding of the 12th Internaional World Wide Web Conference (WWW2003) (poster tracks), 2003.Google Scholar
- TopicMap. org. http://www. topicmap. org.Google Scholar
- H. D. Wactlar. Informedia - search and summarization in the video medium. Proceedings of Imagina 2000 Conference, 2000.Google Scholar
- C. L. Wayne. Multilingual topic detection and tracking: Successful research enabled by corpora and evaluation. Proceedings of the Language Resources and Evaluation Conference (LREC) 2000, pages 1487--1494, 2000.Google Scholar
- M. Zloof. Query-by-example: A data base language. IBM Systems Journal, 16, 4, pages 324--343, 1977.Google ScholarDigital Library
Index Terms
- Complementary information retrieval for cross-media news content
Recommendations
Complementary information retrieval for cross-media news content
We propose a novel way of integrating cross-media news content such as TV programs and Web pages to provide users with complementary information. Our method can be used to search for cross-media news content that complements news items in which a user ...
Multimedia News Summarization in Search
Regular Papers, Survey Papers and Special Issue on Recommender System BenchmarksIt is a necessary but challenging task to relieve users from the proliferative news information and allow them to quickly and comprehensively master the information of the whats and hows that are happening in the world every day. In this article, we ...
User comments for news recommendation in forum-based social media
News recommendation and user interaction are important features in many Web-based news services. The former helps users identify the most relevant news for further information. The latter enables collaborated information sharing among users with their ...
Comments