Supplementing Case-based Recommenders with Context Data

L Coyle, E Balfe, G Stevenson, S Neely, S Dobson, Patrick Nixon, B Smyth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
EditorsSteven Bogaerts Sven Schwarz
Number of pages0
Volume221
Publication statusPublished - 2006
EventProceedings of the 1st Workshop on Case-Based Reasoning and Context Awareness at the 8th European Conference on Case-Based Reasoning (ECCBR) - Oludeniz/Fethiye, Turkey
Duration: 1 Jan 2006 → …

Conference

ConferenceProceedings of the 1st Workshop on Case-Based Reasoning and Context Awareness at the 8th European Conference on Case-Based Reasoning (ECCBR)
Period1/01/06 → …

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Recommender systems
Sensors

Keywords

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Cite this

Coyle, L., Balfe, E., Stevenson, G., Neely, S., Dobson, S., Nixon, P., & Smyth, B. (2006). Supplementing Case-based Recommenders with Context Data. In S. B. Sven Schwarz (Ed.), Unknown Host Publication (Vol. 221)
Coyle, L ; Balfe, E ; Stevenson, G ; Neely, S ; Dobson, S ; Nixon, Patrick ; Smyth, B. / Supplementing Case-based Recommenders with Context Data. Unknown Host Publication. editor / Steven Bogaerts Sven Schwarz. Vol. 221 2006.
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Coyle, L, Balfe, E, Stevenson, G, Neely, S, Dobson, S, Nixon, P & Smyth, B 2006, Supplementing Case-based Recommenders with Context Data. in SB Sven Schwarz (ed.), Unknown Host Publication. vol. 221, Proceedings of the 1st Workshop on Case-Based Reasoning and Context Awareness at the 8th European Conference on Case-Based Reasoning (ECCBR), 1/01/06.

Supplementing Case-based Recommenders with Context Data. / Coyle, L; Balfe, E; Stevenson, G; Neely, S; Dobson, S; Nixon, Patrick; Smyth, B.

Unknown Host Publication. ed. / Steven Bogaerts Sven Schwarz. Vol. 221 2006.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Supplementing Case-based Recommenders with Context Data

AU - Coyle, L

AU - Balfe, E

AU - Stevenson, G

AU - Neely, S

AU - Dobson, S

AU - Nixon, Patrick

AU - Smyth, B

PY - 2006

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N2 - 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.

AB - 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.

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Coyle L, Balfe E, Stevenson G, Neely S, Dobson S, Nixon P et al. Supplementing Case-based Recommenders with Context Data. In Sven Schwarz SB, editor, Unknown Host Publication. Vol. 221. 2006