We consider the problem of large-scale retrieval evaluation, and we propose a statistical method for evaluating retrieval systems using incomplete judgments. Unlike existing techn...
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...
We show that incorporating user behavior data can significantly improve ordering of top results in real web search setting. We examine alternatives for incorporating feedback into...
We developed a prototype for integrated retrieval and aggregation of diverse information contained in scanned paper documents. Such complex document information processing combine...
Shlomo Argamon, Gady Agam, Ophir Frieder, David A....
We consider the following full-text search autocompletion feature. Imagine a user of a search engine typing a query. Then with every letter being typed, we would like an instant d...
Searching an organization’s document repositories for experts provides a cost effective solution for the task of expert finding. We present two general strategies to expert se...