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WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
15 years 3 months ago
A Scalable, Accurate Hybrid Recommender System
—Recommender systems apply machine learning techniques for filtering unseen information and can predict whether a user would like a given resource. There are three main types of...
Mustansar Ali Ghazanfar, Adam Prügel-Bennett
CIKM
2010
Springer
14 years 4 months ago
Exploiting hierarchical tags for context-awareness
Context-awareness for information retrieval is challenging problem as information about the users current situation is rarely available. If such information would be available, re...
Alan Said, Jérôme Kunegis, Ernesto Wi...
ECRA
2007
139views more  ECRA 2007»
14 years 9 months ago
Common structure and properties of filtering systems
Recommendation systems have been studied actively since the 1990s. Generally, recommendation systems choose one or more candidates from a set of candidates through a filtering pro...
Junichi Iijima, Sho Ho
WMC
2001
95views ECommerce» more  WMC 2001»
14 years 11 months ago
Peer-to-peer based recommendations for mobile commerce
With the increasing number of mobile commerce facilities, there are challenges in providing customers useful recommendations about interesting products and services. In this paper...
Amund Tveit
AH
2008
Springer
15 years 4 months ago
Accuracy in Rating and Recommending Item Features
This paper discusses accuracy in processing ratings of and recommendations for item features. Such processing facilitates featurebased user navigation in recommender system interfa...
Lloyd Rutledge, Natalia Stash, Yiwen Wang, Lora Ar...