32 citations · 124 across the 23 of their papers we have counts for
6 papers · 1 filter
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…
Analysis and Visualization of the Parameter Space of Matrix Factorization-based Recommender Systems
Hao Wang
Recommender system is the most successful commercial technology in the past decade. Technical mammoth such as Temu, TikTok and Amazon utilize the technology to generate enormous re…
PowerMat: context-aware recommender system without user item rating values that solves the cold-start problem
Hao Wang
Recommender systems serves as an important technical asset in many modern companies. With the increasing demand for higher precision of the technology, more and more research and i…
Kernel-CF: Collaborative filtering done right with social network analysis and kernel smoothing
Hao Wang
Collaborative filtering is the simplest but oldest machine learning algorithm in the field of recommender systems. In spite of its long history, it remains a discussion topic in re…
Fair Recommendation by Geometric Interpretation and Analysis of Matrix Factorization
Hao Wang
Matrix factorization-based recommender system is in effect an angle preserving dimensionality reduction technique. Since the frequency of items follows power-law distribution, most…