A new approach to multimedia information filtering based on its structure

Huang, Xiaodi and Yong, Jianming (2004) A new approach to multimedia information filtering based on its structure. In: Mutimedia 2004 Eurographics Symposium, 27-28 Oct 2004, Nanjing, China.

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Abstract

In information filtering systems, the documents are sequentially presented to the users based on the user relevance values. This paper argues that the presented documents should be both important and relevant to the users. Based on this view, a structure based filtering framework is described, which considers the importance and relevance values of documents. An approach, which is used to calculate the importance values of documents, is proposed to improve the representation of user profiles. The experiment results and discussion are given.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author's version deposited in accordance with the copyright policy of the publisher. Copyright ACM 2004. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Mutimedia 2004 Eurographics Symposium Proceedings.
Depositing User: Dr Jianming Yong
Faculty / Department / School: Historic - Faculty of Business - Department of Information Systems
Date Deposited: 15 Oct 2009 23:54
Last Modified: 02 Jul 2013 23:24
Uncontrolled Keywords: centrality; user profiles; rank; structure
Fields of Research (FOR2008): 08 Information and Computing Sciences > 0806 Information Systems > 080602 Computer-Human Interaction
17 Psychology and Cognitive Sciences > 1702 Cognitive Sciences > 170203 Knowledge Representation and Machine Learning
08 Information and Computing Sciences > 0807 Library and Information Studies > 080704 Information Retrieval and Web Search
Socio-Economic Objective (SEO2008): E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
URI: http://eprints.usq.edu.au/id/eprint/5700

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