In this paper we propose a novel approach to content-based image retrieval with relevance feedback, which is based on the random walker algorithm introduced in the context of inte...
Click data captures many users’ document preferences for a query and has been shown to help significantly improve search engine ranking. However, most click data is noisy and of...
: In this paper, we report our experiments in the mixed query task of the Web track for TREC 2004. We deal with the problem of ranking Web documents within a multicriteria framewor...
Abstract. Query expansion is a well known method to improve the performance of information retrieval systems. In this work we have tested different approaches to extract the candid...
In this paper, we propose a novel Markov model-based formulation for the image annotation problem. In this formulation, we treat image annotation as a graph ranking problem, by de...