Link Prediction Recommendation System with Node2Vec

Concise summary of all major recommender algorithms and concepts

Exploring Machine Learning methods to provide the best recommendation for Expedia

This repository provides some recommender engine models.

Learning Best Practices on Recommender Systems

web app in Python using Flask framework

🍪 example for recon-engine

一个Go语言开发的开源推荐系统， Gorse open source recommender system engine

Filters books in lists and shelves, or makes recommendations based on your previous reads.

Content Based Movie Recommender

Multivariate stock price forecasting

Pick Me A Flick: A content filtering based Movie Recommendation Engine .

Recommender engine using SageMaker KMeans clustering for a CloudGuru challenge.

The project develops an application that suggests to the reader more similar articles to that he already read. It uses the embedding algorithms of headlines to create their own numerical representation, which allows to compute the similarity between headlines and get the most similar ones.

Tell-and-Show is a project for open recommendations that uses the AGPLv3 license to protect *data* and to consider said data as the source for machine learning models.

Cross modal, cross cultural, cross lingual, cross domain, and cross site global OER network

A graph-based citation network for paper recommender engine

Incremental recommender engine built with Golang & Redis.

The objective of this project is to build a kNN-based recommender system in order to predict the top 5 movie based on a given movie, in this case "The Post". As there is no need for classification or regression, the nearestNeighbors model and neighrbors() method are used to find the 5 most closely related films.

Tiktok is an advanced multimedia recommender system that fuses the generative modality-aware collaborative self-augmentation and contrastive cross-modality dependency encoding to achieve superior performance compared to existing state-of-the-art multi-model recommenders.