An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, IA Lab and SocVis Lab.

The implementation of "PARL: Let Strangers Speak Out What You Like", Libing Wu, Cong Quan, Chenliang Li, Donghong Ji, https://doi.org/10.1145/3269206.3271695

[Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky

Implementation for Aspect-Aware Latent Factor Model: Rating Prediction with Ratings and Reviews.

Structured Semantic Model supported Deep Neural Network for Click-Through Rate Prediction

The collection of papers about recommender system

Movie Revenue & Ratings Prediction Using 5000 IMDB Movies [Python, Machine Learning, GitHub]

Google Local Rating Prediction using Latent Factor Model. Recommender System - CSE 258 Assignment 1

Netflix data challenge hosted by PRML course in IITM, we secured 5th position as team Goodfellas

The goal of this project was to predict reviews' star ratings on Yelp using the review text. We built the following models that perform text analysis on review data to predict the rating stars.

Elo Rating System written in Swift for Swift Package Manager

Machine learning ------- rating prediction for the review of commenting restaurant

Movie Recommendation Using Matrix Factorization.

An Amazon product recommender system that predicts product ratings and review helpfulness based on linear regression and latent-fact model.

Recommender system with Netflix database using matrix factorization

for beginners tutorial

To predict if a customer will like a movie or not depending on his past ratings and preferences using RBMs.

Solutions to the programming assignments to the Machine Learning Course offered by Stanford University

Movie ratings prediction

A Python Package for Benchmarking Collaborative Filtering Algorithms in Recommendation

Predicting Amazon ratings based on reviews by Text Classification using the Naive Bayes Algorithm.

Chrome extension for DMOJ to predict contest rating changes.

Implemented a model that is capable of predicting a restaurant rating taking into account several factors such as reviews and restaurant facilities. Analysis of review is done based on NLP techniques that include polarity analysis, TF-IDF which are all followed by pre-processing.

Relations / rating prediction in trust-based social networks

Predict the rating that a user will give to a book given their past book ratings.

machine learning sentiment analysis using apache opennlp

DRAW aims to extract effective inferences from online drug reviews that would benefit drug users, pharma companies, and clinicians by receiving feedback on the drug based on opinion mining.