32 citations · 77 across the 12 of their papers we have counts for
12 papers · 1 filter
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…
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…
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…
Mitigating Position Bias with Regularization for Recommender Systems
Hao Wang
Fairness is a popular research topic in recent years. A research topic closely related to fairness is bias and debiasing. Among different types of bias problems, position bias is o…
Enhancing Recommender System Performance by Histogram Equalization
Hao Wang
Recommender system has been researched for decades with millions of different versions of algorithms created in the industry. In spite of the huge amount of work spent on the field…
LogitMat : Zeroshot Learning Algorithm for Recommender Systems without Transfer Learning or Pretrained Models
Hao Wang
Recommender system is adored in the internet industry as one of the most profitable technologies. Unlike other sectors such as fraud detection in the Fintech industry, recommender…