Evaluating user reputation in collaborative web search

DSpace/Manakin Repository

Show simple item record

dc.contributor.author McNally, Kevin
dc.contributor.author O'Mahony, Michael P.
dc.contributor.author Smyth, Barry
dc.date.accessioned 2012-02-03T12:18:51Z
dc.date.available 2012-02-03T12:18:51Z
dc.date.issued 2011-10-23
dc.identifier.uri http://hdl.handle.net/10197/3478
dc.description Presented at the 3rd Workshop on Recommender Systems and the Social Web (RSWEB-11), 5th ACM Conference on Recommender Systems, Chicago, IL, USA, 23-27 October 2011. en
dc.description.abstract Often today’s recommender systems look to past user activity in order to influence future recommendations. In the case of social web search, employing collaborative recommendation techniques allows for personalization of search results. 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 collaborative and social search tasks, 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 details en
dc.description.uri http://www.dcs.warwick.ac.uk/~ssanand/RSWeb11/index.htm en
dc.format.extent 951741 bytes
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartof Freyne, J. et al. (eds.). Proceedings of the 3rd ACM RecSys’10 Workshop on Recommender Systems and the Social Web en
dc.relation.requires CLARITY Research Collection en
dc.subject Recommender systems en
dc.subject Search en
dc.subject HeyStaks en
dc.subject.lcsh Recommender systems (Information filtering) en
dc.subject.lcsh Internet searching--Software en
dc.subject.lcsh Web co-browsing--Software en
dc.subject.lcsh Online social networks en
dc.title Evaluating user reputation in collaborative web search en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.internal.webversions http://www.dcs.warwick.ac.uk/~ssanand/RSWeb11/rsweb2011proceedingsfinal.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 ti, ke, ab - TS 23.01.12 en

This item appears in the following Collection(s)

Show simple item record

This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.

If you are a publisher or author and have copyright concerns for any item, please email research.repository@ucd.ie and the item will be withdrawn immediately. The author or person responsible for depositing the article will be contacted within one business day.

Search Research Repository

Advanced Search