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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    Feedback
    Recommender systems
    Sensors

    Keywords

    • n/a

    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

    TY - GEN

    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

    Y1 - 2006

    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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    M3 - Conference contribution

    VL - 221

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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