32 citations · 51 across the 3 of their papers we have counts for
3 papers
cs.IR2021★ 1 cited
Zipf Matrix Factorization : Matrix Factorization with Matthew Effect Reduction
Hao Wang
Recommender system recommends interesting items to users based on users' past information history. Researchers have been paying attention to improvement of algorithmic performance…
cs.IR2020★ 18 cited
MatRec: Matrix Factorization for Highly Skewed Dataset
Hao Wang, Bing Ruan
Recommender systems is one of the most successful AI technologies applied in the internet cooperations. Popular internet products such as TikTok, Amazon, and YouTube have all integ…
cs.IR2019★ 32 cited
Quantitative analysis of Matthew effect and sparsity problem of recommender systems
Hao Wang, Zonghu Wang, Weishi Zhang
Recommender systems have received great commercial success. Recommendation has been used widely in areas such as e-commerce, online music FM, online news portal, etc. However, seve…