P. Cleverley

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Improving Enterprise Search in the Upstream Oil and Gas Industry by Automatic Query Expansion using a Non-Probabilistic Knowledge Representation

P. Cleverley, 2012 .

The best of both worlds: Highlighting the synergies of combining manual and automatic knowledge organization methods to improve information search and discovery in oil and gas enterprises

P. Cleverley, 2015 .

Impact of COVID-19 on search in an organisation

Simon M. Burnett, F. Cousins, P. Cleverley, 2021, J. Inf. Sci..

Exploratory information searching in the enterprise: A study of user satisfaction and task performance

Paul Hugh Cleverley, Simon M. Burnett, Laura Muir, 2017, J. Assoc. Inf. Sci. Technol..

Re-examining and re-conceptualising enterprise search and discovery capability : towards a model for the factors and generative mechanisms for search task outcomes

Paul Hugh Cleverley, P. Cleverley, 2017 .

Retrieving haystacks: a data driven information needs model for faceted search

Paul Hugh Cleverley, Simon M. Burnett, P. Cleverley, 2015, J. Inf. Sci..

Improving Enterprise Search in the Upstream Oil and Gas Industry by Automatic Query Expansion using a Non-Probabilistic Knowledge Representation

P. Cleverley, 2012 .

Enterprise search and discovery capability: The factors and generative mechanisms for user satisfaction

Paul Hugh Cleverley, Simon M. Burnett, P. Cleverley, 2019, J. Inf. Sci..

Creating Sparks: Comparing Search Results Using Discriminatory Search Term Word Co-Occurrence to Facilitate Serendipity in the Enterprise

Paul Hugh Cleverley, Simon M. Burnett, P. Cleverley, 2015, J. Inf. Knowl. Manag..

The FluidEarth 2 implementation of OpenMI 2.0

Quillon Harpham, Paul Cleverley, David M. Kelly, 2014 .

Enterprise search: A state of the art

Paul Hugh Cleverley, Simon M. Burnett, P. Cleverley, 2019, Business Information Review.