We present a new approach for personalizing Web search results to a specific user. Ranking functions for Web search engines are typically trained by machine learning algorithms u...
David Sontag, Kevyn Collins-Thompson, Paul N. Benn...
This paper describes a novel method for browsing a large video collection. It links various forms of related video fragments together as threads. These threads are based on query r...
Previous research into the efficiency of text retrieval systems has dealt primarily with methods that consider inverted lists in sequence; these methods are known as term-at-a-tim...
We describe our effort to evaluate the syntax and constraints of Promise Theory using a tool developed in the Maude framework. Through the development of a Maude module we are able...
Can we leverage learning techniques to build a fast nearest-neighbor (ANN) retrieval data structure? We present a general learning framework for the NN problem in which sample que...