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

recommender system library for the CLR (.NET)

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

Leetcode Rating Predictor built with Node. Browser extension and web interface.

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.

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

Must-read Papers for Recommender Systems (RS)

The collection of papers about recommender system

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

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

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

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

Relations / rating prediction in trust-based social networks

A chrome extension to predict star ratings according to the customer's review.

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.

Predict ratings of google local reviews in order to better recommend the places to users based on historical data and the sentiment within.

Predict the average review ratings of products on Amazon

This project develops a Yelp-based restaurant rating prediction algorithm using NLP to analyze review texts and generate a weighted unified rating. It then employs methods like SVD, ALS, SGD, and Random Forest to recommend restaurants based on these ratings.

machine learning sentiment analysis using apache opennlp

Movie ratings prediction