As the annotation of multimedia documents uses multiple desmptors, it is possible to define multiple, semantically meaningfd, similarity (or dissimilarity) relations among them. Therefoe, for cases such as the mining of user interests for consumption of multimedia documents, based on usage history, where the clustering of documents is necessary, it is important to develop context aware clusterkg algorithms that are able to handle this type of infonnation. In this paper we explain the relation between context, user interest and the multiple relations; furthermore, we present a clustering algorithm that is able to mine user interesb 60x11 multi-relational data sets.
Context aware clustering algorithms for data mining a user's consumer interests of multimedia documents, based on user history was developed by M. Wallace et al. REF .
Towards a context aware mining of user interests for consumption of multimedia documents
Proceedings. IEEE International Conference on Multimedia and Expo
Proceedings. IEEE International Conference on Multimedia and Expo
Computer Science