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Personalized search, navigation and content delivery techniques have attracted interest in the recommender systems as a means to decrease search ambiguity and return results most relevant to a particular user preferences. In this paper, we study the effect of incorporating user semantic profile derived from past user's behavior and preferences on the accuracy of a recommender system. We present a...
The paper presents a new multiple feature fusion (MFF) based on latent semantic indexing (LSI) method to achieve an improved image retrieval performance. The proposed method extracts different physical features, which come from not the whole image but its main objects, and constructs a multi-modal semantic space, each dimension of which represents a different feature component of the image. Furthermore,...
Nowadays, more and more photos are created by mobile devices equipped with camera. How to fast index and retrieve the photos is one key issue in photo management. In this paper, we present a semantic-based graph index for finding the relevant photos from one photo. First, we cluster photos into many different collections by single-dimension context like time, location, author and tag and form initial...
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