This paper examines whether the Cranfield evaluation methodology is robust to gross violations of the completeness assumption (i.e., the assumption that all relevant documents wi...
Abstract. Machine learning ranking methods are increasingly applied to ranking tasks in information retrieval (IR). However ranking tasks in IR often differ from standard ranking t...
Abstract. The notion of having a “living lab” to undertaken evaluations has been proposed by a number of proponents within the field of Information Retrieval (IR). However, wh...
This research investigated the application of techniques successfully used in previous information retrieval research, to the more challenging area of medical informatics. It was ...
Andrea L. Houston, Hsinchun Chen, Bruce R. Schatz,...
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 ...