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Ranking algorithms for implicit feedback

Record type: Monograph (Project Report)

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.

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Citation

Pasupa, Kitsuchart, Saunders, Craig, Szedmak, Sandor, Gunn, Steve, Hardoon, David, Klami, Arto, Kaski, Samuel, Leung, Alex and Auer, Peter (2009) Ranking algorithms for implicit feedback s.n.

More information

Published date: 29 December 2009
Organisations: Electronic & Software Systems

Identifiers

Local EPrints ID: 268376
URI: http://eprints.soton.ac.uk/id/eprint/268376
PURE UUID: 19d643a5-6ed7-407a-b4f2-d1f823c4e507

Catalogue record

Date deposited: 13 Jan 2010 09:25
Last modified: 18 Jul 2017 06:54

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Contributors

Author: Kitsuchart Pasupa
Author: Craig Saunders
Author: Sandor Szedmak
Author: Steve Gunn
Author: David Hardoon
Author: Arto Klami
Author: Samuel Kaski
Author: Alex Leung
Author: Peter Auer

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