Recommender
Recommendation engine
A C-based system for predicting product recommendations using collaborative filtering algorithms
A C library for product recommendations/suggestions using collaborative filtering (CF)
266 stars
31 watching
63 forks
Language: C
last commit: over 3 years ago
Linked from 3 awesome lists
ccollaborative-filteringmachine-learningrecommendation-engine
Related projects:
| Repository | Description | Stars |
|---|---|---|
| | A package of Collaborative Filtering algorithms in Go for recommendation systems. | 206 |
| | A tool for building and comparing multimodal recommender systems using various machine learning algorithms. | 897 |
| | A framework for building and deploying scalable recommendation algorithms | 1,814 |
| | A simple recommendation system built on top of Go, allowing users to create tables with user ratings and retrieve personalized recommendations. | 314 |
| | An implementation of a deep learning-based framework for making recommendations using neural networks and matrix factorization. | 486 |
| | A recommender system built using multiple candidate selection and ranking methods for predicting next item likes in a streaming data environment. | 54 |
| | A PHP framework for building complex recommendation engines using Neo4j | 130 |
| | A Python library for building scalable and flexible recommendation engines | 87 |
| | A collection of scripts for training a hybrid recommendation system combining collaborative filtering and content-based filtering techniques | 16 |
| | A foundation collaborative filtering system for movie recommendations using the MovieLens dataset in Matlab. | 109 |
| | A Django-based website demonstrating how to implement recommender algorithms with a dataset from themoviedb.org API. | 909 |
| | Provides an interface to a recommendation engine built on Apache Mahout libraries via REST API | 6 |
| | A Python implementation of a factorization machine algorithm for recommendation systems. | 923 |
| | A deep learning framework for collaborative filtering and graph-based recommender systems | 60 |
| | A software framework for building recommender systems using machine learning and deep learning techniques. | 1,869 |