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TKDE
2012
236views Formal Methods» more  TKDE 2012»
11 years 9 months ago
Improving Aggregate Recommendation Diversity Using Ranking-Based Techniques
— Recommender systems are becoming increasingly important to individual users and businesses for providing personalized recommendations. However, while the majority of algorithms...
Gediminas Adomavicius, YoungOk Kwon
PROCEDIA
2010
157views more  PROCEDIA 2010»
13 years 5 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...
VTC
2007
IEEE
162views Communications» more  VTC 2007»
14 years 1 months ago
Improving Vertical Handover Performance with PHY-Mode Recommendations Based on Localized Link State Measurements
— Cooperation amongst heterogeneous mobile radio systems will be an indispensable feature of ‘beyond 3G’. One key mechanism thereby serving as enabling technique for system i...
Daniel Bültmann, Matthias Siebert, Jijun Luo
RECSYS
2009
ACM
14 years 1 months ago
Using a trust network to improve top-N recommendation
Top-N item recommendation is one of the important tasks of recommenders. Collaborative filtering is the most popular approach to building recommender systems which can predict ra...
Mohsen Jamali, Martin Ester
CHI
2006
ACM
14 years 7 months ago
Accounting for taste: using profile similarity to improve recommender systems
Recommender systems have been developed to address the abundance of choice we face in taste domains (films, music, restaurants) when shopping or going out. However, consumers curr...
Philip Bonhard, Clare Harries, John D. McCarthy, M...