In this paper we propose an attribute retrieval approach which extracts and ranks attributes from Web tables. We use simple heuristics to filter out improbable attributes and we ...
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
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...
We compared two different interfaces to the InQuery IR system with respect to their support for the TREC-9 Interactive Track Question-Answering task. One interface presented searc...
Nicholas J. Belkin, Amymarie Keller, Diane Kelly, ...
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
Stephen E. Robertson, Evangelos Kanoulas, Emine Yi...