305 citations · 440 across the 6 of their papers we have counts for
Showing 2015Show all
2 papers · 1 filter
cs.IR2015★ 5 cited
Re-scale AdaBoost for Attack Detection in Collaborative Filtering Recommender Systems
Zhihai Yang, Lin Xu, Zhongmin Cai
Collaborative filtering recommender systems (CFRSs) are the key components of successful e-commerce systems. Actually, CFRSs are highly vulnerable to attacks since its openness. Ho…
cs.LG2015★ 5 cited
Re-scale boosting for regression and classification
Shaobo Lin, Yao Wang, Lin Xu
Boosting is a learning scheme that combines weak prediction rules to produce a strong composite estimator, with the underlying intuition that one can obtain accurate prediction rul…