Supplementing Case-based Recommenders with Context Data

Lorcan Coyle, Evelyn Balfe, Graeme Stevenson, Steve Neely, Simon Dobson, Paddy Nixon, Barry Smyth

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

3 Citations (Scopus)


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.
Original languageEnglish
Title of host publication1st Workshop on Case-based Reasoning and Context Awareness
Subtitle of host publicationCACOA 2006
EditorsSven Schwarz, Steven Bogaerts, Stefan Schulz
Place of PublicationGermany
PublisherCEUR Workshop Proceedings
Number of pages13
Publication statusPublished - 2006
Externally publishedYes
Event1st Workshop on Case-based Reasoning and Context Awareness: CACOA 2006 - Ölüdeniz, Fethiye, Turkey
Duration: 5 Sept 20065 Sept 2006

Publication series

NameCEUR Workshop Proceedings
PublisherRheinisch-Westfaelische Technische Hochschule Aachen
ISSN (Electronic)1613-0073


Workshop1st Workshop on Case-based Reasoning and Context Awareness
Abbreviated titleCACOA 2006


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