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Recommending search experiences

Author(s)
Saaya, Zurina  
Smyth, Barry  
Coyle, Maurice  
Briggs, Peter  
Uri
http://hdl.handle.net/10197/3450
Date Issued
2011-08-31
Date Available
2012-01-26T15:03:37Z
Abstract
In this paper we focus on a multi-case case-based reasoning system to support users during collaborative search tasks. In particular we describe how repositories of search experiences/knowledge can be recommended to users at search time. These recommendations are evaluated using real-world search data.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
Intelligent Systems Research Centre
Subjects

Social search

Context recommendatio...

Subject – LCSH
Recommender systems (Information filtering)
Web co-browsing--Software
Internet searching--Software
Online social networks
Web versions
http://isrc.ulster.ac.uk/aics2011/images/files/AICS_2011_Proceedings.pdf
Language
English
Status of Item
Peer reviewed
Journal
AICS 2011 : Proceedings of the 22nd Irish Conference on Artificial Intelligence and Cognitive Science : 31 August - 2 September, 2011 : University of Ulster - Magee
Conference Details
Paper presented at the 22nd Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2011), University of Ulster, Northern Ireland, 31 August - 2 September, 2011
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
File(s)
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Thumbnail Image
Name

zurina-aics-2011-v3.0.pdf

Size

1.46 MB

Format

Adobe PDF

Checksum (MD5)

c70e074de4152a0bb9554190080fc361

Owning collection
Computer Science Research Collection
Mapped collections
CLARITY Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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