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Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/61488

Title: An Online Framework for Supporting the Evaluation of Personalised Information Retrieval Systems
Author: MULWA, CATHERINE
SHARP, MARY
LAWLESS, SEAMUS
WADE, VINCENT PATRICK
Sponsor: 
Name Grant Number
07/CE/I1142

Author's Homepage: http://people.tcd.ie/vwade
http://people.tcd.ie/msharp
http://people.tcd.ie/selawles
Keywords: Computer science
Personalised Information Retrieval (PIR)
Issue Date: 2011
Publisher: BCS
Citation: Catherine Mulwa, Luca Longo, Séamus Lawless, Mary Sharp and Vincent Wade, An Online Framework for Supporting the Evaluation of Personalised Information Retrieval Systems, iUBICOM 11: The 6th International Workshop on Ubiquitous and Collaborative Computing, Northumbria University, 4 July 2011, BCS, 2011, 75-85
Abstract: Scope - Personalised Information Retrieval (PIR) has been gaining attention because it investigates intelligent ways for enhancing content delivery. Web users can have personalised services and more accurate information. Problem - Several PIR systems have been proposed in the literature; however, they have not been properly tested or evaluated. Proposal - The authors propose a generally applicable web-based interface, which provides PIR developers and evaluators with: i) implicit recommendations on how to evaluate a specific PIR system; ii) a repository containing studies on user-centred and layered evaluation studies; iii) recommendations on how to best combine different evaluation methods, metrics and measurement criteria in order to most effectively evaluate their system; iv) a UCE methodology which details how to apply existing UCE techniques; v) a taxonomy of evaluations of adaptive systems; and vi) interface translation support (49 languages supported).
Description: PUBLISHED
URI: http://hdl.handle.net/2262/61488
Related links: http://ewic.bcs.org/content/ConWebDoc/42575
Appears in Collections:Computer Science (Scholarly Publications)

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