regommend
Recommender
A simple recommendation system built on top of Go, allowing users to create tables with user ratings and retrieve personalized recommendations.
Recommendation engine for Go
314 stars
16 watching
28 forks
Language: Go
last commit: over 5 years ago
Linked from 2 awesome lists
hacktoberfest
avelino/awesome-go
xwjdsh/awesome-go-extraRelated 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 |
 ghamrouni/recommender | A C-based system for predicting product recommendations using collaborative filtering algorithms | 266 |
 practical-recommender-systems/moviegeek | A Django-based website demonstrating how to implement recommender algorithms with a dataset from themoviedb.org API. | 909 |
 astrazeneca/rexmex | A library providing a comprehensive set of metrics and tools for evaluating recommender systems | 278 |
 ocelma/python-recsys | A library for building and using collaborative filtering-based recommender systems | 1,477 |
 alibaba/easyrec | A framework for building and deploying scalable recommendation algorithms | 1,814 |
 rlouf/birdland | A collaborative filtering algorithm for building personalized recommendation systems | 46 |
 rucaibox/recsysdatasets | A repository of public data sources for Recommender Systems. | 887 |
 muricoca/crab | Provides a flexible and fast recommender engine for Python built on top of classic information filtering algorithms | 1,178 |
 ma-xu/collaborativefiltering | A foundation collaborative filtering system for movie recommendations using the MovieLens dataset in Matlab. | 109 |
 preferredai/cornac | A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 897 |
 fuxiailab/rl4rs | A collection of real-world datasets and practical reinforcement learning baselines for recommendation systems. | 220 |
 defulian/recsys | An academic project providing a framework for building and evaluating recommender systems in MATLAB. | 47 |
 davideceolin/rcsvw | Provides algorithms and utilities for candidate recommendations in RDF data | 3 |
 tensorflow/recommenders | A software framework for building recommender systems using machine learning and deep learning techniques. | 1,869 |