rating-prediction

There are 66 repositories under rating-prediction topic.

  • cheungdaven/DeepRec

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

    Language:Python1.2k5521293

  • SysSn13/leetcode-rating-predictor

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

    Language:JavaScript52925754

  • zenogantner/MyMediaLite

    recommender system library for the CLR (.NET)

    Language:C#50649451190

  • caserec/CaseRecommender

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

    Language:Python498212692

  • hegongshan/Recommender-Systems-Paper

    Must-read Papers for Recommender Systems (RS)

    1551018

  • gasevi/pyreclab

    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.

    Language:C++122152128

  • loserChen/Awesome-Recommender-System

    The collection of papers about recommender system

    886119

  • VinAIResearch/RecGPT

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

    Language:Python31111

  • harshraj11584/Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix

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

    Language:Jupyter Notebook292121

  • guoyang9/A3NCF

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

    Language:Python26126

  • niuchenglei/ssm-dnn

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

    Language:Python22515

  • WHUIR/PARL

    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

    Language:Python21115

  • anjanatiha/Movie-Revenue-Rating-Prediction-from-IMDB-Movie-Data

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

    Language:Jupyter Notebook11208

  • kyleong/starreco

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

    Language:Python11001

  • bhaskar6f1/Latent-Factor-Model-for-rating-prediction

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

    Language:Python9111

  • gionanide/OpiRec

    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 user under consideration for other products. The aforementioned task faces the same problems emerging in text generation using neural networks, namely repetition and specificity. In this paper, it is experi- mentally demonstrated that by employing coverage loss during training, repetition is reduced without adding extra parameters. Furthermore, the amount of repetition in the generated text review is defined as a measure of the captured information. Such measure is used to improve rating score prediction significantly during testing.

    Language:Python8000

  • Vishwesh4/Netflix-prize

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

    Language:Jupyter Notebook7000

  • micts/RecommenderSystem

    Movie Recommendation Using Matrix Factorization.

    Language:Python6100

  • someaditya/yelp-rating-prediction

    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.

    Language:Python6112

  • shreyansh-2003/CinemAI.Insights-Movie_Script_Analyser

    CinemAI is a one stop solution solution created for movie buffs. The fullstack app has a movie scene-wise and character-wise analysis feature. It also has genre classification, movie, movie rating prediction and age restriction prediction based on a movie's script.

    Language:Jupyter Notebook4100

  • codewithpandey/predicto

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

    Language:Python3103

  • Iliaromanov/Google-Play-App-Rating-Prediction

    Project With Partner; Using Data Analysis/ Visualization and ML to predict the rating an App would get on the Google Play Store

    Language:Jupyter Notebook3261

  • vinhqdang/trust_predict_ciao_epinions

    Relations / rating prediction in trust-based social networks

    Language:R3104

  • BryanNorden/elo-rating-swift

    Elo Rating System written in Swift for Swift Package Manager

    Language:Swift2011

  • chaitanyakasaraneni/recommendationsystem

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

    Language:Jupyter Notebook2000

  • lovesaroha/Movies-Recommendation-System

    Movies recommendation and rating prediction using collaborative filtering.

    Language:JavaScript2100

  • mohamedmansoura/Recommender-system-with-Netflix-database

    Recommender system with Netflix database using matrix factorization

    Language:Jupyter Notebook2100

  • C-Ritam98/Rating_Prediction

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

    Language:Python1100
  • Movie-Recommendation-Rating-Prediction

    jacobceles/Movie-Recommendation-Rating-Prediction

    Using the MovieLens dataset with Surprise to compare different algorithms for rating prediction, and also create a movie recommendation system on top of it.

    Language:Jupyter Notebook1101

  • Junnie13/wildrift-vs-mobilelegends

    Analysis of Google PlayStore reviews for “League of Legends: Wild Rift” and “Mobile Legends: Bang Bang”

    Language:Jupyter Notebook1100

  • mauraanish/IMDb-Ratings

    For my MATH 398: Machine Learning class at Wheaton College (MA), which I took in the Fall 2023 semester with Dr. Michael Kahn, I used machine learning to predict the ratings of the Top 1,000 movies on IMDb.

    Language:R110

  • mrcaidev/information-retrieval

    电子科技大学 2020 级《信息检索》课程代码。

    Language:Jupyter Notebook120

  • mrdimosthenis/glicko2

    The Glicko-2 rating system for Scala and Scala.js

    Language:Scala1210

  • napsterninad20/Yelp-Analysis-and-Rating-Prediction

    Designed a system that will use existing yelp data to provide insightful analysis and to assist existing business owners, future business owners to make important decisions about a new business or business expansion.

    Language:Jupyter Notebook1000

  • Ninjaclasher/dmoj-rating-predictor

    Browser extension for DMOJ to predict contest rating changes.

    Language:JavaScript1221

  • t170815518/EMER-pytorch

    Joint Reason Generation and Rating Prediction for Explainable Recommendation

    Language:Python1100