Ranking search results is a fundamental problem in information retrieval. In this paper we explore whether the use of proximity and phrase information can improve web retrieval ac...
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
: We describe an approach to parallel compilation that seeks to harness the vast amount of ne-grain parallelism that is exposed through partial evaluation of numerically-intensive ...
Information integration applications, such as mediators or mashups, that require access to information resources currently rely on users manually discovering and integrating them ...
Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...