In this project (VIRSI) we investigate the promising contentbased retrieval paradigm known as interactive search or relevance feedback, and aim to extend it through the use of syn...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
In this paper, we propose an information retrieval model called Latent Interest Semantic Map (LISM), which features retrieval composed of both Collaborative Filtering(CF) and Prob...
Currently a large percentage of Internet traffic consists of music files, typically stored in MP3 compressed audio format, shared and exchanged over Peer-to-Peer (P2P) networks....
This paper proposes an Agent Community based Peer-toPeer information retrieval method called ACP2P method, which uses agent communities to manage and look up information related t...
Despite several efforts to make search engines more childfriendly, children still have trouble using systems that require keyboard input. We present TeddIR: a system using a tangi...
Michel Jansen, Wim Bos, Paul E. van der Vet, Theo ...