Coping with Noisy Search Experiences

Pierre-Antoine Champin 1 Peter Briggs Maurice Coyle Barry Smyth
1 SILEX - Supporting Interaction and Learning by Experience
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
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 mainstream 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.
Document type :
Journal articles
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01381440
Contributor : Équipe Gestionnaire Des Publications Si Liris <>
Submitted on : Friday, October 14, 2016 - 2:45:33 PM
Last modification on : Thursday, February 7, 2019 - 4:59:09 PM

Links full text

Identifiers

Citation

Pierre-Antoine Champin, Peter Briggs, Maurice Coyle, Barry Smyth. Coping with Noisy Search Experiences. Knowledge-Based Systems, Elsevier, 2010, 4, 23, pp.287-294. ⟨10.1016/j.knosys.2009.11.011⟩. ⟨hal-01381440⟩

Share

Metrics

Record views

89