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Supplementing Case-based Recommenders with Context Data


Coyle, L and Balfe, E and Stevenson, G and Neely, S and Dobson, S and Nixon, Paddy and Smyth, B, Supplementing Case-based Recommenders with Context Data, Proceedings of the 1st Workshop on Case-Based Reasoning and Context Awareness at the 8th European Conference on Case-Based Reasoning (ECCBR), 5 September 2006, Oludeniz/Fethiye, Turkey EJ (2006) [Refereed Conference Paper]

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Copyright 2006 the authors - The University is continuing to endeavour to trace the copyright owner(s) and in the meantime this item has been reproduced here in good faith. We would be pleased to hear from the copyright owner(s).

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We propose that traditional case-based recommender systems can be improved by informing them with context data describing the user's environment. We outline existing applications with similar objectives and describe an application of our own - Ticketyboo - which uses music listening preferences and context information from users' calendars to recommend tickets for music concerts. This data is gathered by virtual sensors that monitor each user's music player and calendar applications. The novelty of this approach is that context data is provided to Ticketyboo via a dedicated context infrastructure. This results in a clear separation between the providers and consumers of context data. By utilising context data in this way, minimal user input/feedback is required to guide the system since the need for explicit user feedback is negated.

Item Details

Item Type:Refereed Conference Paper
Research Division:Information and Computing Sciences
Research Group:Library and information studies
Research Field:Human information interaction and retrieval
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Nixon, Paddy (Professor Paddy Nixon)
ID Code:69462
Year Published:2006
Deposited By:Research Division
Deposited On:2011-04-20
Last Modified:2014-09-12

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