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Social and collaborative web search : an evaluation study

Author(s)
McNally, Kevin  
O'Mahony, Michael P.  
Smyth, Barry  
Coyle, Maurice  
Briggs, Peter  
Uri
http://hdl.handle.net/10197/2953
Date Issued
2011-02-16
Date Available
2011-05-26T11:35:25Z
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
Subjects

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
Journal
IUI '11 Proceedings of the 16th international conference on Intelligent user interfaces
Conference Details
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/
File(s)
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Name

nt087i-mcnally.pdf

Size

211.34 KB

Format

Adobe PDF

Checksum (MD5)

391b3e811bd0fc4242ed4453e3dc7b9b

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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