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» A Scalable, Accurate Hybrid Recommender System
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WKDD
2010
CPS
204views Data Mining» more  WKDD 2010»
14 years 4 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
TKDD
2010
121views more  TKDD 2010»
13 years 9 months ago
Factor in the neighbors: Scalable and accurate collaborative filtering
Recommender systems provide users with personalized suggestions for products or services. These systems often rely on Collaborating Filtering (CF), where past transactions are ana...
Yehuda Koren
AWIC
2004
Springer
14 years 4 months ago
Case-Based Reasoning as a Prediction Strategy for Hybrid Recommender Systems
Abstract. Hybrid recommender systems are capable of providing better recommendations than non-hybrid ones. Our approach to hybrid recommenders is the use of prediction strategies t...
Mark van Setten, Mettina Veenstra, Anton Nijholt, ...
ICDE
2012
IEEE
257views Database» more  ICDE 2012»
12 years 1 months ago
LARS: A Location-Aware Recommender System
Abstract—This paper proposes LARS, a location-aware recommender system that uses location-based ratings to produce recommendations. Traditional recommender systems do not conside...
Justin J. Levandoski, Mohamed Sarwat, Ahmed Eldawy...
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
14 years 5 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis