An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
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Updated
Jun 1, 2022 - Python
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems
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
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.
Google Local Rating Prediction using Latent Factor Model. Recommender System - CSE 258 Assignment 1
To predict if a customer will like a movie or not depending on his past ratings and preferences using RBMs.
for beginners tutorial
Movie Rating Prediction based on NETFLIX dataset using Low Rank Matrix factorization technique.
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.
Movie Recommendation Using Matrix Factorization.
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
Joint Reason Generation and Rating Prediction for Explainable Recommendation
RecGPT: Generative Pre-training for Text-based Recommendation (ACL 2024)
Repo for the paper "Rating Prediction in Conversational Task Assistants with Behavioral and Conversational-Flow Features" presented at SIGIR 2023
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…
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