Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...
Inferring the score distribution of relevant and non-relevant documents is an essential task for many IR applications (e.g. information filtering, recall-oriented IR, meta-search,...
—We propose a novel scenario called “writer retrieval” consisting in the retrieval from a set of documents all those produced by the same writer. The retrieval is based on a ...
Term-weighting functions derived from various models of retrieval aim to model human notions of relevance more accurately. However, there is a lack of analysis of the sources of e...
The Fly's Eye project (2002) creates an animated document of both space and time and draws inspiration from the structure, function and significance of the eye of the fly and...