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Social and collaborative web search : an evaluation study

File(s)
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Author(s)
McNally, Kevin 
O'Mahony, Michael P. 
Smyth, Barry 
Coyle, Maurice 
Briggs, Peter 
Uri
http://hdl.handle.net/10197/2953
Date Issued
16 February 2011
Date Available
26T11:35:25Z May 2011
Abstract
In this paper we describe the results of a live-user study to demonstrate the benefits of using the social search utility HeyStaks, a novel approach to Web search that combines ideas from personalization and social networking to provide a more collaborative search experience.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
ACM
Copyright (Published Version)
2011 ACM
Keywords
  • Collaborative web sea...

  • User evaluation

  • HeyStaks

Subject – LCSH
Internet searching--Software
Web co-browsing--Software
Online social networks
Recommender systems (Information filtering)
DOI
10.1145/1943403.1943472
Web versions
http://dx.doi.org/10.1145/1943403.1943472
Language
English
Status of Item
Peer reviewed
Part of
IUI '11 Proceedings of the 16th international conference on Intelligent user interfaces
Description
Paper presented at the 2011 International Conference on Intelligent User Interfaces (IUI 2011), Stanford University, Palo Alto, CA, USA, February 13-16 2011
ISBN
978-1-4503-0419-1
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
Computer Science Research Collection
Scopus© citations
9
Acquisition Date
Jan 25, 2023
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