Type

Conference Proceedings

Authors

Mary Sharp
Seamus Lawless
Catherine Mulwa
Mary Sharpe
Vincent Wade
Luca Longo

Subjects

Computer Science

Topics
personalised information retrieval pir online systems computer sciences computer science web based intelligent content communications personalised information retrieval information retrieval systems evaluation methods databases and information systems user centred evaluation layered evaluation content delivery

An Online Framework for Supporting the Evaluation of Personalised Information Retrieval Systems (2011)

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).
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Full list of authors on original publication

Mary Sharp, Seamus Lawless, Catherine Mulwa, Mary Sharpe, Vincent Wade, Luca Longo

Experts in our system

1
Mary Sharp
Trinity College Dublin
Total Publications: 22
 
2
Seamus Lawless
Trinity College Dublin
Total Publications: 64
 
3
Catherine Mulwa
Trinity College Dublin
Total Publications: 17
 
4
Vincent Patrick Wade
Trinity College Dublin
Total Publications: 123
 
5
Luca Longo
Dublin Institute of Technology
Total Publications: 20