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: over 5 years ago
Linked from 1 awesome list
josephmisiti/awesome-machine-learningRelated projects:
| Repository | Description | Stars |
|---|---|---|
 greenwolf-nsk/yandex-cup-2022-recsys | A recommender system built using multiple candidate selection and ranking methods for predicting next item likes in a streaming data environment. | 54 |
 alibaba/easyrec | A framework for building and deploying scalable recommendation algorithms | 1,814 |
 preferredai/cornac | A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 897 |
 jfkirk/tensorrec | A Python framework for building recommendation systems using TensorFlow. | 1,277 |
 muesli/regommend | A simple recommendation system built on top of Go, allowing users to create tables with user ratings and retrieve personalized recommendations. | 314 |
 ghamrouni/recommender | A C-based system for predicting product recommendations using collaborative filtering algorithms | 266 |
 fuxiailab/rl4rs | A collection of real-world datasets and practical reinforcement learning baselines for recommendation systems. | 220 |
 coreylynch/pyfm | A Python implementation of a factorization machine algorithm for recommendation systems. | 923 |
 timkaye11/gorecommend | A package of Collaborative Filtering algorithms in Go for recommendation systems. | 206 |
 ankane/torchrec-ruby | A deep learning-based recommendation system framework for Ruby | 36 |
 deeplearningbrasil/mars-gym | A framework for building and evaluating recommender systems using reinforcement learning | 51 |
 yihong-chen/neural-collaborative-filtering | An implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization. | 486 |
 wbotelhos/rating | 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 |
 moonmaster9000/bird | A Haskell-based web framework inspired by Sinatra's syntax and functionality. | 57 |
 davideceolin/rcsvw | Provides algorithms and utilities for candidate recommendations in RDF data | 3 |