📝
Tzu-Heng's wiki
  • Tzu-Heng's wiki
  • Machine Learning
    • Traditionals
    • Deep Learning
    • Image Classification (CNN)
    • Detection
    • Semantic Segmentation
    • Generative Adversarial Networks
    • Style Transfer
    • Recommender Systems
    • Meta Learning
  • Notes
    • Differientiable Sampling and Argmax
    • GAN theory
    • Multi-task Learning (MTL)
    • Disentanglement in GANs
    • CNN practical notes
    • 3D Clothes
    • OpenGL
    • Generative Art
    • nginx usage
    • Deploy Deep Learning Models
    • Character Motion Synthesis
  • Data Structure & Algorithms
    • Sorting Algorithms
Powered by GitBook
On this page
  • Survey Papers / Repos
  • Resources
  • Models
  • Implicit Feedback
  • Explicit Feedback
  • Others
  • Dataset
  • Metrics

Was this helpful?

  1. Machine Learning

Recommender Systems

recommender systems

PreviousStyle TransferNextMeta Learning

Last updated 3 years ago

Was this helpful?

Survey Papers / Repos

  • Deep Learning based Recommender System: A Survey and New Perspectives

Resources

Models

Implicit Feedback

  • BPR: Bayesian Personalized Ranking from Implicit Feedback (BPR)

  • Wide and Deep

  • Neural Collaborative Filtering (NCF)

Explicit Feedback

Others

Dataset

Metrics

  • NDCG

  • Hit Rate

[1707.07435]
grahamjenson/list_of_recommender_systems
hongleizhang/RSPapers
NicolasHug/Surprise
microsoft/recommenders
[1205.2618]
[1606.07792]
[1708.05031]