An Online Framework for Supporting the Evaluation of Personalised Information Retrieval Systems
Item Type:Conference Paper
Citation:Catherine Mulwa, Luca Longo, Seamus 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
An Online Framework for Supporting the Evaluation of Personalised Information Retrieval Systems .pdf (Published (publisher's copy) - Peer Reviewed) 950.0Kb
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).
Science Foundation Ireland
Type of material:Conference Paper
Availability:Full text available