Coping with noisy search experiences

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Title: Coping with noisy search experiences
Authors: Champin, Pierre-Antoine
Briggs, Peter
Coyle, Maurice
Smyth, Barry
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Date: May-2010
Online since: 2010-05-20T15:37:03Z
Abstract: The so-called Social Web has helped to change the very nature of the Internet by emphasising the role of our online experiences as new forms of content and service knowledge. In this paper we describe an approach to improving main-stream Web search by harnessing the search experiences of groups of like-minded searchers. We focus on the HeyStaks system ( and look in particular at the experiential knowledge that drives its search recommendations. Specifically we describe how this knowledge can be noisy, and we describe and evaluate a recommendation technique for coping with this noise and discuss how it may be incorporated into HeyStaks as a useful feature.
Funding Details: Science Foundation Ireland
Type of material: Journal Article
Publisher: Elsevier
Journal: Knowledge-Based Systems
Volume: 23
Issue: 4
Start page: 287
End page: 294
Copyright (published version): 2009 Elsevier B.V.
Keywords: ExperienceWeb searchRecommender system
Subject LCSH: Internet searching
Recommender systems (Information filtering)
DOI: 10.1016/j.knosys.2009.11.011
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Language: en
Status of Item: Peer reviewed
Appears in Collections:CLARITY Research Collection
Computer Science Research Collection

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