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A conversational collaborative filtering approach to recommendation

Hurrell, Eoin and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2013) A conversational collaborative filtering approach to recommendation. In: Advances in Visual Informatics. Third International Visual Informatics Conference, IVIC 2013, Proceedings, 13-15 Nov 2013., Selangor, Malaysia. ISBN 978-3-319-02957-3 (Print) 978-3-319-02958-0 (Online)

Abstract
Recent work has shown the value of treating recommendation as a conversation between user and system, which conversational recommenders have done by allowing feedback like “not as expensive as this” on recommendations. This allows a more natural alternative to content-based information access. Our research focuses on creating a viable conversational methodology for collaborative-filtering recommendation which can apply to any kind of information, especially visual. Since collaborative filtering does not have an intrinsic understanding of the items it suggests, i.e. it doesn’t understand the content, it has no obvious mechanism for conversation. Here we develop a means by which a recommender driven purely by collaborative filtering can sustain a conversation with a user and in our evaluation we show that it enables finding multimedia items that the user wants without requiring domain knowledge.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:Contact alan.smeaton@dcu.ie
Subjects:Computer Science > Interactive computer systems
Computer Science > Visualization
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:Springer
Official URL:http://link.springer.com/chapter/10.1007/978-3-319...
Copyright Information:© 2013 Springer. The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:19675
Deposited On:26 Nov 2013 09:49 by Alan Smeaton . Last Modified 31 Oct 2018 13:29
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