Comparing context-aware recommender systems in terms of accuracy and diversity

Title
Comparing context-aware recommender systems in terms of accuracy and diversity
Authors
Keywords
Context-aware recommender systems, CARS, Pre-filtering, Post-filtering, Contextual modeling, Accuracy, Diversity, Performance measures
Journal
USER MODELING AND USER-ADAPTED INTERACTION
Volume 24, Issue 1-2, Pages 35-65
Publisher
Springer Nature
Online
2012-12-26
DOI
10.1007/s11257-012-9135-y

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