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» LARS: A Location-Aware Recommender System
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ICDE
2012
IEEE
257views Database» more  ICDE 2012»
11 years 7 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
2006
Springer
139views Data Mining» more  GFKL 2006»
13 years 8 months ago
Attribute Aware Anonymous Recommender Systems
Manuel Stritt, Karen H. L. Tso, Lars Schmidt-Thiem...
PROCEDIA
2010
157views more  PROCEDIA 2010»
13 years 3 months ago
Recommender system for predicting student performance
Recommender systems are widely used in many areas, especially in e-commerce. Recently, they are also applied in e-learning tasks such as recommending resources (e.g. papers, books...
Nguyen Thai-Nghe, Lucas Drumond, Artus Krohn-Grimb...
SIGIR
2011
ACM
12 years 7 months ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...
GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
13 years 11 months ago
Collaborative Tag Recommendations
Abstract. With the increasing popularity of collaborative tagging systems, services that assist the user in the task of tagging, such as tag recommenders, are more and more require...
Leandro Balby Marinho, Lars Schmidt-Thieme