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

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

RecGPT: Generative Pre-training for Text-based Recommendation (ACL 2024)

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 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

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

State-of-The-Art Rating-based RECOmmendation system: pytorch lightning implementation

Opinion recommendation is a task, recently introduced, for consistently generating a text review and a rating score that a certain user would give to a certain product, which has never seen before. Input information driving recommendation is text reviews and ratings for this product contributed by other users and text reviews submitted by the us…

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.

Movie Recommendation Using Matrix Factorization.

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

for beginners tutorial

Movie Rating Prediction based on NETFLIX dataset using Low Rank Matrix factorization technique.

Joint Reason Generation and Rating Prediction for Explainable Recommendation

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

This repository contains the code for the second project for Data Mining classes at the Poznań University of Technology, created by the team Kung Fu Pandas.

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

This project is an implementation of simple rating prediction systems for items from user

CF-NADE PyTorch Implementation