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A market-based approach to recommender systems
Yan Zheng Wei, Luc Moreau, Nicholas R. Jennings
Recommender systems have been widely advocated as a way of coping with the problem of information overload for knowledge workers. Given this, multiple recommendation methods have been developed. However, it has been shown that no one technique is...
A novel document retrieval method using the discrete wavelet transform
Laurence A. F. Park, Kotagiri Ramamohanarao, Marimuthu Palaniswami
Current information retrieval methods either ignore the term positions or deal with exact term positions; the former can be seen as coarse document resolution, the latter as fine document resolution. We propose a new spectral-based information...
Trustworthy 100-year digital objects: durable encoding for when it's too late to ask
H. M. Gladney, R. A. Lorie
How can an author store digital information so that it will be reliably intelligible, even years later when he or she is no longer available to answer questions? Methods that might work are not good enough; what is preserved today should be...
Evaluating implicit feedback models using searcher simulations
Ryen W. White, Ian Ruthven, Joemon M. Jose, C. J. Van Rijsbergen
In this article we describe an evaluation of relevance feedback (RF) algorithms using searcher simulations. Since these algorithms select additional terms for query modification based on inferences made from searcher interaction, not on relevance...