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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/39212

Title: A Proposal for the Evaluation of Adaptive Personalised Information Retrieval
Other Titles: CIRSE 2010 - Workshop on Contextual Information Access, Seeking and Retrieval Evaluation held in conjunction with ECIR-2010 - European Conference on Information Retrieval
Author: LAWLESS, SEAMUS
O'CONNOR, ALEXANDER
MULWA, CATHERINE
Author's Homepage: http://people.tcd.ie/selawles
http://people.tcd.ie/mulwac
Keywords: Information Retrieval
Adaptive Hypermedia
Issue Date: 2010
Citation: Séamus Lawless, Alex O'Connor, Catherine Mulwa, A Proposal for the Evaluation of Adaptive Personalised Information Retrieval, CIRSE 2010 - Workshop on Contextual Information Access, Seeking and Retrieval Evaluation held in conjunction with ECIR-2010 - European Conference on Information Retrieval, Milton Keynes, UK, 28th March 2010, Bich-Liên Doan; Joemon Jose; Massimo Melucci; Lynda Tamine-Lechani;, 2010
Abstract: Personalisation in Information Retrieval is achieved using a range of contextual information such as information about the user, the task being conducted and the device being used. This information is used to devise the most suitable response for the individual’s need. As such personalised Information Retrieval and response composition approaches become more widely used, traditional evaluation measures become less effective and applicable. This paper proposes that contextual, and specifically personalised, approaches to Information Retrieval could benefit from the experience of the Adaptive Hypermedia community. The paper details the approaches to evaluation commonly used by the IR and AH communities and proposes a means of combining and enhancing these disparate approaches in a unified framework for the evaluation of personalised IR systems.
Description: PUBLISHED
Milton Keynes, UK
URI: http://hdl.handle.net/2262/39212
Related links: http://www.irit.fr/CIRSE/
Appears in Collections:Computer Science (Scholarly Publications)

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