22 citations · 22 across the 1 of their papers we have counts for
4 papers · 1 filter
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…
TriMat: Context-aware Recommendation by Tri-Matrix Factorization
Hao Wang
Search engine is the symbolic technology of Web 2.0, and many people used to believe recommender systems is the new frontier of Web 3.0. In the past 10 years, with the advent of Ti…
GreyShot: Zeroshot and Privacy-preserving Recommender System by GM(1,1) Model
Hao Wang
Every recommendation engineer needs to face the cold start problem when building his system. During the past decades, most scientists adopted transfer learning and meta learning to…
Emotion-based Recommender System
Hao Wang
Recommender system is one of the most critical technologies for large internet companies such as Amazon and TikTok. Although millions of users use recommender systems globally ever…