Recommenders Addons
Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.
About
TensorFlow Recommenders Addons(TFRA) are a collection of projects related to large-scale recommendation systems built upon TensorFlow by introducing the Dynamic Embedding Technology to TensorFlow that makes TensorFlow more suitable for training models of Search, Recommendations, and Advertising and makes building, evaluating, and serving sophisticated recommenders models easy. See approved TensorFlow RFC #313. Those contributions will be complementary to TensorFlow Core and TensorFlow Recommenders etc.
Open Source Health
- Stars
- 635
- Forks
- 143
- License
- Apache-2.0
- Last commit
- 1 years ago
Resources & Links
Related Categories
Vendor
TensorFlow
Quick Links
Open Source
More by TensorFlow
Related Products
Recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
More from this vendor
The Algorithm
Source code for the X Recommendation Algorithm
Top category match
RPG_KDD2025
This repository provides the code for implementing RPG described in our KDD'25 paper "Generating Long Semantic IDs in Parallel for Recommendation".
Top category match
Pairec
A Go web framework for quickly building recommendation online services based on JSON configuration.
Top category match
Textrank
TextRank implementation for Python 3.
Shared categories