32 citations · 124 across the 23 of their papers we have counts for
Showing 2021 · cs.IRShow all
3 papers · 2 filters
cs.IR2021★ 9 cited
MatMat: Matrix Factorization by Matrix Fitting
Hao Wang
Matrix factorization is a widely adopted recommender system technique that fits scalar rating values by dot products of user feature vectors and item feature vectors. However, the…
cs.IR2021★ 22 cited
ZeroMat: Solving Cold-start Problem of Recommender System with No Input Data
Hao Wang
Recommender system is an applicable technique in most E-commerce commercial product technical designs. However, nearly all recommender system faces a challenge called the cold-star…
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…