A New Approach to Multimedia Information Filtering Based on its Structure

Abstract

In information filtering systems, the multimedia documents are sequentially presented to users based on the user relevance values. This paper argues that the presented multimedia documents should be both important and relevant to the users. The importance of a document is determined by its relations to others in the collection. All users are supposed to look for important and relevant documents. Based on this view, a structure-based filtering framework is described, which incorporates the characteristics of the importance and relevance of multimedia documents. An approach to calculating importance values of multimedia documents and then combining them into relevance values of multimedia documents is proposed to improve the representation of user profiles. An example is provided.