Relevance feedback has been taken as an essential tool to enhance content-based information retrieval systems by keeping the user in the retrieval loop. Among the fundamental rele...
In the ubiquitous computing environment, we believe that P2P-based context-aware application utilizing sensing data is important. However, since sensors are not placed under the c...
We propose a fully decentralized collaborative filtering approach that is self-organizing and operates in a distributed way. The relevances between downloading files (items) are...
Jun Wang, Marcel J. T. Reinders, Reginald L. Lagen...
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Information explosion across the Internet and elsewhere offers access to an increasing number of document collections. In order for users to e ectively access these collections, i...