<?xml version="1.0" encoding="UTF-8"?>
<XML><RECORDS>
<RECORD>
	<REFERENCE_TYPE>0</REFERENCE_TYPE>
	<AUTHORS>
		<AUTHOR>Champin, Pierre-Antoine</AUTHOR>
		<AUTHOR>Briggs, Peter</AUTHOR>
		<AUTHOR>Coyle, Maurice</AUTHOR>
		<AUTHOR>Smyth, Barry</AUTHOR>
	</AUTHORS>
	<YEAR>2010</YEAR>
	<TITLE>Coping with noisy search experiences</TITLE>
	<SECONDARY_TITLE>In: Knowledge-Based Systems</SECONDARY_TITLE>
	<PUBLISHER>Elsevier</PUBLISHER>
	<VOLUME>23</VOLUME>
	<NUMBER>4</NUMBER>
	<PAGES>287-294</PAGES>
	<DATE>May 2010</DATE>
	<KEYWORDS>
		<KEYWORD>RP6</KEYWORD>
	</KEYWORDS>
	<ABSTRACT>&lt;p&gt;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  (www.heystaks.com) 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.&lt;/p&gt;</ABSTRACT>
	<URL>http://irserver.ucd.ie/dspace/handle/10197/1999</URL>
</RECORD>
</RECORDS></XML>