Sciweavers

118 search results - page 4 / 24
» Ranking in context-aware recommender systems
Sort
View
CONTEXT
2005
Springer
13 years 11 months ago
Design of context-aware systems for vehicles using complex system paradigms
Abstract. This paper argues that the driving task exhibits the properties of complex systems. Driving behavior emerges from the intricate and complex interactions between the drive...
Andry Rakotonirainy
RECSYS
2010
ACM
13 years 6 months ago
Group recommendations with rank aggregation and collaborative filtering
The majority of recommender systems are designed to make recommendations for individual users. However, in some circumstances the items to be selected are not intended for persona...
Linas Baltrunas, Tadas Makcinskas, Francesco Ricci
ECWEB
2010
Springer
155views ECommerce» more  ECWEB 2010»
13 years 4 months ago
Partial Ranking of Products for Recommendation Systems
A recommendation system (or recommender) is an algorithm whose goal is to recommend products to potential users. To achieve its task, it uses information about some user preference...
Sébastien Hémon, Thomas Largillier, ...
CISS
2008
IEEE
14 years 15 days ago
A lower-bound on the number of rankings required in recommender systems using collaborativ filtering
— We consider the situation where users rank items from a given set, and each user ranks only a (small) subset of all items. We assume that users can be classified into C classe...
Peter Marbach
WWW
2011
ACM
13 years 29 days ago
Ranking in context-aware recommender systems
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Minsuk Kahng, Sangkeun Lee, Sang-goo Lee