Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
Abstract—A probabilistic kernel approach to pairwise preference learning based on Gaussian processes is applied to predict preference judgments for sound quality degradation mech...
Perry Groot, Tom Heskes, Tjeerd Dijkstra, James M....
We propose a method for identifying diathesis alternations where a particular argument type is seen in slots which have different grammatical roles in the alternating forms. The m...
While the appeal of shopping online is enormous, successful methods of attracting and keeping customers remain elusive. Product offerings, service, and price are important conside...
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...