Skip to content
#

svdpp

Here are 16 public repositories matching this topic...

A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.

  • Updated Sep 2, 2021
  • Jupyter Notebook

Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.

  • Updated Nov 28, 2022
  • Jupyter Notebook

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

  • Updated Aug 8, 2024
  • Python

Improve this page

Add a description, image, and links to the svdpp topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the svdpp topic, visit your repo's landing page and select "manage topics."

Learn more