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 (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.
Type de document :
Communication dans un congrès
Max Bramer. 29th SGAI International Conference on Artificial Intelligence (AI-2009), Dec 2009, Cambridge, United Kingdom. Springer, pp.5-18, 2009, 〈10.1007/978-1-84882-983-1_1〉
Liste complète des métadonnées

https://hal.archives-ouvertes.fr/hal-01437779
Contributeur : Équipe Gestionnaire Des Publications Si Liris <>
Soumis le : mardi 17 janvier 2017 - 13:59:05
Dernière modification le : jeudi 1 novembre 2018 - 01:19:33

Lien texte intégral

Identifiants

Collections

Citation

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

Partager

Métriques

Consultations de la notice

61