Modeling user and result reputation in collaborative web search

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dc.contributor.author McNally, Kevin
dc.contributor.author O'Mahony, Michael P.
dc.contributor.author Smyth, Barry
dc.date.accessioned 2012-01-26T14:56:27Z
dc.date.available 2012-01-26T14:56:27Z
dc.date.issued 2011-08-31
dc.identifier.uri http://hdl.handle.net/10197/3449
dc.description 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 en
dc.description.abstract Employing collaborative recommendation techniques allows for personalization of search results in social web search. If recommendations arise from past user activity, the expertise of those users driving the recommendation process can play an important role when it comes to ensuring recommendation quality. Hence the reputation of users is important, in addition to result relevance as traditionally considered in web search. In this paper we explore this concept of reputation; specifically, investigating how reputation can enhance the recommendation engine at the core of the HeyStaks social search utility. We evaluate a number of different reputation models in the context of the HeyStaks system, and demonstrate how incorporating reputation into the recommendation process can enhance the relevance of results recommended by HeyStaks. en
dc.description.sponsorship Science Foundation Ireland en
dc.description.uri Conference website en
dc.description.uri http://isrc.ulster.ac.uk/aics2011/ en
dc.format.extent 380925 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Intelligent Systems Research Centre en
dc.relation.ispartof AICS 2011 : Proceedings of the 22nd Irish Conference on Artificial Intelligence and Cognitive Science : 31 August - 2 September, 2011 : University of Ulster - Magee en
dc.relation.requires CLARITY Research Collection en
dc.subject Sensors en
dc.subject Social Search en
dc.subject Relevance en
dc.subject Reputation en
dc.subject HeyStaks en
dc.subject.lcsh Web co-browsing--Software en
dc.subject.lcsh Internet searching--Software en
dc.subject.lcsh Recommender systems (Information filtering) en
dc.subject.lcsh Online social networks en
dc.title Modeling user and result reputation in collaborative web search en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.internal.webversions Publisher's version en
dc.internal.webversions http://isrc.ulster.ac.uk/aics2011/images/files/AICS_2011_Proceedings.pdf en
dc.status Peer reviewed en
dc.neeo.contributor McNally|Kevin|aut| en
dc.neeo.contributor O'Mahony|Michael P.|aut| en
dc.neeo.contributor Smyth|Barry|aut| en
dc.description.admin Proceedings available at http://isrc.ulster.ac.uk/aics2011/images/files/AICS_2011_Proceedings.pdf, permission granted - AV 7/12/2011 ti, ke, ab - kpw9/12/11 en


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