Supplementing Case-based Recommenders with Context Data
conference contribution
posted on 2023-05-23, 05:19authored byCoyle, L, Balfe, E, Stevenson, G, Neely, S, Dobson, S, Nixon, Paddy, Smyth, B
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.
History
Publication title
Proceedings of the 1st Workshop on Case-Based Reasoning and Context Awareness at the 8th European Conference on Case-Based Reasoning (ECCBR)
Volume
221
Editors
Sven Schwarz, Steven Bogaerts, and Stefan Schulz
Pagination
EJ
Publisher
CEUR Workshop Proceedings, Sun SITE Central Europe
Place of publication
Aachen
Event title
Workshop on Case-based Reasoning and Context Awareness (CACOA), co-located with European Conference on Case-Based Reasoning (ECCBR)
Event Venue
Oludeniz/Fethiye, Turkey
Date of Event (Start Date)
2006-09-05
Date of Event (End Date)
2006-09-05
Rights statement
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).
Repository Status
Restricted
Socio-economic Objectives
Information systems, technologies and services not elsewhere classified