Open Source Ecosystems

Movie Recommender System based on the MovieLens 100K dataset

A simple movie recommender system. Made a simple UI that just recommends a genre, for now.

Used:

KMeans: to cluster similar movies together.
Pearson Correlation Similarity Measure: to measure similarity between two users.

Currently getting a Mean Squared Error of 1.23 on the test set.

Build a Content-Based Movie Recommender System (TF-IDF, BM25, BERT)

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Te...

rater, recommender systems. 推荐模型，包括：DeepFM，Wide&Deep，DIN，DeepWalk，Node2Vec等模型实现，开箱即用。

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and D...

The official implementation of TedRec.

building a movie recommendation system using collaborative filtering techniques.

Movie Website built on python Django framework; Uses Content Based Predictive Model approach to p...

Project Search is a Recommendation system for Youtube videos and Amazon products.

This repository contains Deep Learning based articles , paper and repositories for Recommender Sy...