IEEE

A New Collaborative Filtering Approach Based on Game Theory for Recommendation Systems

Abstract: Recommendation systems can help internet users to find interesting things that match more with their profile. With the development of the digital age, recommendation systems have become ...
IEEE

Neural Collaborative Filtering with Pairwise Learning for Implicit Feedback Data

Abstract: Deep neural networks have found wide applications in fields such as natural language processing, language translation, computer vision, and speech recognition, including recommendation ...
Frontiers

A Hybrid Interpolation Weighted Collaborative Filtering Method for Anti-cancer Drug Response Prediction

1 School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China 2 College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China ...
GitHub

Rajasvi/neural_collaborative_filtering_pytorch

In this project, I worked on implementing Neural Collaborative Filtering models in PyTorch from the paper: Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu and Tat-Seng Chua (2017). Neural ...
GitHub

Invariant Collaborative Filtering to Popularity Distribution Shift

InvCF (2022) aims to discover disentangled representations that faithfully reveal the latent preference and popularity semantics without making any assumption about the popularity distribution. At its ...