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CARD: a decision-guidance framework and application for recommending composite alternatives

Brodsky, Alexander and Morgan Henshaw, Sylvia and Whittle, Jon (2008) CARD: a decision-guidance framework and application for recommending composite alternatives. In: Proceedings of the 2008 ACM conference on Recommender systems. ACM, New York, NY, USA, pp. 171-178. ISBN 978-1-60558-093-7

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Abstract

This paper proposes a framework for Composite Alternative Recommendation Development (CARD), which supports composite product and service definitions, top-k decision optimization, and dynamic preference learning. Composite services are characterized by a set of sub-services, which, in turn, can be composite or atomic. Each atomic and composite service is associated with metrics, such as cost, duration, and enjoyment ranking. The framework is based on the Composite Recommender Knowledge Base, which is composed of views, including Service Metric Views that specify services and their metrics; Recommendation Views that specify the ranking definition to balance optimality and diversity; parametric Transformers that specify how service metrics are defined in terms of metrics of its subservices; and learning sets from which the unknown parameters in the transformers are iteratively learned. Also introduced in the paper is the top-k selection criterion that, based on a vector of utility metrics, provides the balance between the optimality of individual metrics and the diversity of recommendations. To exemplify the framework, specific views are developed for a travel package recommender system.

Item Type: Contribution in Book/Report/Proceedings
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments: Faculty of Science and Technology > School of Computing & Communications
ID Code: 57687
Deposited By: ep_importer_pure
Deposited On: 21 Aug 2012 10:30
Refereed?: No
Published?: Published
Last Modified: 17 Dec 2017 02:19
Identification Number:
URI: http://eprints.lancs.ac.uk/id/eprint/57687

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