Models of web page reputation in social search
Date:
2011-10-09
Recommended citation:
McNally, Kevin, O'Mahony, Michael P., Smyth, Barry
: Models of web page reputation in social search. Paper presented at the Third IEEE International Conference on Social Computing (SocialCom2011), MIT, Boston, USA, 9-11 October 2011. 2011-10-09.
Abstract:
To date web search has been a solitary experience for the end-user, despite the fact that recent studies highlight the potential for collaboration that is inherent in many search tasks and scenarios. As a result, researchers have begun to explore the potential for a more collaborative approach to web search, one in which the search actions of other users can influence the results returned. In this context, the expertise of other users plays an important role when it comes to ensuring the quality of recommendations that arise from their actions. The reputation of these users is important in collaborative and social search tasks, much as relevance is vital in conventional web search. In this paper we examine this concept of reputation in collaborative and social search contexts. We describe a number of different reputation models and evaluate them in the context of a particular social search service. Our results highlight the potential for reputation to improve the quality of recommendations that arise from the activities of other searchers.
Funding Details:
Science Foundation Ireland
Conference Details:
Paper presented at the Third IEEE International Conference on Social Computing (SocialCom2011), MIT, Boston, USA, 9-11 October 2011
Type of material:
Conference Publication
Publisher:
IEEE
Copyright (published version):
2011 IEEE
Rights statement:
Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Is part of:
Privacy, Security, Risk and Trust (PASSAT), 2011 IEEE Third International Conference on and 2011 IEEE Third International Confernece on Social Computing (SocialCom) [proceedings]
ISBN:
978-1-4577-1931-8
Status of item:
Peer reviewed
Language:
en
Availability:
Full text available
Available:
2012-02-09T15:28:15Z
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