This paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in...
Bernard J. Jansen, Danielle L. Booth, Amanda Spink
Users of text search engines are increasingly wary that their activities may disclose confidential information about their business or personal profiles. It would be desirable f...
Some applications have to present their results in the form of ranked lists. This is the case of many information retrieval applications, in which documents must be sorted accordi...
Adriano Veloso, Humberto Mossri de Almeida, Marcos...
Purpose – This paper reports the findings of a major study examining the overlap among results retrieved by three major web search engines. The goal of the research was to: mea...
Amanda Spink, Bernard J. Jansen, Chris Blakely, Sh...
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...