birdland
Recommendation system
A collaborative filtering algorithm for building personalized recommendation systems
A battle-tested recommendation library written in Go.
46 stars
4 watching
4 forks
Language: Go
last commit: about 7 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A recommender system built using multiple candidate selection and ranking methods for predicting next item likes in a streaming data environment. | 54 | |
| A framework for building and deploying scalable recommendation algorithms | 1,814 | |
| A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 897 | |
| A Python framework for building recommendation systems using TensorFlow. | 1,277 | |
| A simple recommendation system built on top of Go, allowing users to create tables with user ratings and retrieve personalized recommendations. | 314 | |
| A C-based system for predicting product recommendations using collaborative filtering algorithms | 266 | |
| A collection of real-world datasets and practical reinforcement learning baselines for recommendation systems. | 220 | |
| A Python implementation of a factorization machine algorithm for recommendation systems. | 923 | |
| A package of Collaborative Filtering algorithms in Go for recommendation systems. | 206 | |
| A deep learning-based recommendation system framework for Ruby | 36 | |
| A framework for building and evaluating recommender systems using reinforcement learning | 51 | |
| An implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization. | 486 | |
| A rating system that calculates an estimated value based on the number of votes and provides features for rating resources and retrieving rate information. | 72 | |
| A Haskell-based web framework inspired by Sinatra's syntax and functionality. | 57 | |
| Provides algorithms and utilities for candidate recommendations in RDF data | 3 |