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Ranking algorithms for implicit feedback

Pasupa, K., Saunders, C., Szedmak, S., Gunn, S., Hardoon, D., Klami, A., Kaski, S., Leung, A. and Auer, P. (2009) Ranking algorithms for implicit feedback. Technical Report D5.1, University of Southampton, PinView.

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Abstract

This report presents novel algorithms to use eye movements as an implicit relevance feedback in order to improve the performance of the searches. The algorithms are evaluated on "Transport Rank Five" Dataset which were previously collected in Task 8.3. We demonstrated that simple linear combination or tensor product of eye movement and image
features can improve the retrieval accuracy.

Creators:Kitsuchart Pasupa, Craig Saunders, Sandor Szedmak, Steve Gunn, David Hardoon, Arto Klami, Samuel Kaski, Alex Leung, Peter Auer
Item Type:Technical Report
Research Group:Information - Signals, Images, Systems
Deposited On:13 Jan 2010 09:25 by Pasupa, Kitsuchart
Alternative Locations:http://www.pinview.eu/files/pinview-d5-1-final.pdf
ID Code:18376
Last Modified:18 Feb 2010 16:27

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