A generic Bayesian-based framework for enhancing top-N recommender algorithms.

Ming-Yang Zhou Rong-Qin Xu Zi-Ming Wang Hao Liao

Published in: Inf. Sci. (2021)

Keyphrases

orders of magnitude
computational cost
high level
computational complexity
recommender systems
bayesian methods
complexity analysis
efficient optimization
genetic algorithm
support vector
domain specific
main contribution
benchmark datasets
computational efficiency
posterior probability