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
- Python
![]() |
VOOZH | about |
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)
A practical movie recommend project based on Item2vec.
Notice that there are no torch-related code about item2vec, I just want to provide a readable item2vec implementation for researchers
a sample recommendation recall algorithm framework
[Tutorial] - Applying Word2Vec technique to Recommendation System a.k.a Item2Vec a.k.a Prod2Vec
full visualization of netflix and movielense datasets with 89% accuraccy item2vec
Embed music albums into a latent space leveraging their reviews by Pitchfork.
🍽️ Manage restaurant orders effortlessly with TasteUp-SignalR, a real-time ASP.NET Core solution for customers and managers.
🎬 Discover your next film with this content-based movie recommendation system that analyzes metadata and delivers tailored suggestions.
Add a description, image, and links to the item2vec topic page so that developers can more easily learn about it.
To associate your repository with the item2vec topic, visit your repo's landing page and select "manage topics."