The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
We study the problem of learning to accurately rank a set of objects by combining a given collection of ranking or preference functions. This problem of combining preferences aris...
Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yora...
Many online communities experience insufficient contributions from their members. In order to encourage contributions to the community, we examined a website tailoring approach to...
Min Kyung Lee, Tawanna Dillahunt, Bryan A. Pendlet...
The Cognitive Walkthrough for the Web (CWW) is a partially automated usability evaluation method for identifying and repairing website navigation problems. Building on five earlie...
Marilyn Hughes Blackmon, Muneo Kitajima, Peter G. ...
We describe the results of large-scale experiments with algorithms for unsupervised improvement of recognition of book-images using fully automatic mutual-entropy-based model adap...