Skip to Main content Skip to Navigation
Conference papers

Coping with Noisy Search Experiences

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 ( 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 :
Conference papers
Complete list of metadata
Contributor : Équipe gestionnaire des publications SI LIRIS Connect in order to contact the contributor
Submitted on : Tuesday, January 17, 2017 - 1:59:05 PM
Last modification on : Tuesday, June 1, 2021 - 2:08:08 PM



Pierre-Antoine Champin, Peter Briggs, Maurice Coyle, Barry Smyth. Coping with Noisy Search Experiences. 29th SGAI International Conference on Artificial Intelligence (AI-2009), Dec 2009, Cambridge, United Kingdom. pp.5-18, ⟨10.1007/978-1-84882-983-1_1⟩. ⟨hal-01437779⟩



Record views