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A multi-collection latent topic model for federated search

Baillie, Mark ; Carman, Mark ; Crestani, Fabio

In: Information Retrieval, 2011, vol. 14, no. 4, p. 390-412

Measuring the likelihood property of scoring functions in general retrieval models

Bache, Richard ; Strathclyde, Glasgow, Scotland ; Baillie, Mark ; Glasgow, Scotland ; Crestani, Fabio ; Svizzera

In: Journal of the American society for information science and technology, 2009, vol. 60, no. 6, p. 1294-1297

Although retrieval systems based on probabilistic models will rank the objects (e.g. documents) being retrieved according to the probability of some matching criterion (e.g. relevance) they rarely yield an actual probability and the scoring function is interpreted to be purely ordinal within a given retrieval task. In this paper it is shown that some scoring functions possess the likelihood...

Adaptive query-based sampling of distributed collections

Baillie, Mark ; Azzopardi, Leif ; Crestani, Fabio

In: Lecture Notes in Computer Science, 2006, vol. 4209, p. 316-328

As part of a Distributed Information Retrieval system a description of each remote information resource, archive or repository is usually stored centrally in order to facilitate resource selection. The acquisition of precise resource descriptions is therefore an important phase in Distributed Information Retrieval, as the quality of such representations will impact on selection accuracy, and...