(cornell.edu): New research by Thorsten Joachims and Robert Kleinberg, associate and assistant professors of computer science, respectively, aims to create search-engine software that can learn from users by noticing which links they click on in a list of search responses, and how they reformulate their queries when the first results don't pay off. The work is funded by a four-year, $1 million grant from the National Science Foundation under federal stimulus funding, formally known as the American Recovery and Reinvestment Act (ARRA). The research will lead to methods that improve search quality without human guidance, especially on specialized Web sites such as scientific or legal collections or corporate intranets.
Category: Articles
Click here