daniel-lima-lopez/Collaborative-Filtering-in-Recomender-System

A kNN-based collaborative filtering applied to a movie recommender system

Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 26 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

towardsai/tutorials

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Language: Jupyter Notebook - Size: 5.77 MB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 989 - Forks: 360

psaris/funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Language: q - Size: 695 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 136 - Forks: 51

soran-ghaderi/EfficientCoF

A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering

Language: Python - Size: 968 KB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 5

ashish493/MovieScout

Real Time movie recommendation system with prometheus monitoring

Language: Python - Size: 135 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

FoggySmile/RecSys

RecSys

Language: Jupyter Notebook - Size: 199 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mdh266/RecommenderSystems

Recommender Systems and Collaborative Filtering

Language: Jupyter Notebook - Size: 112 KB - Last synced at: 21 days ago - Pushed at: 10 months ago - Stars: 18 - Forks: 5

khuangaf/tibame_recommender_system

TibaMe 「打造智能推薦系統：用AI搞懂客戶精準行銷」 實作課程程式碼

Language: Jupyter Notebook - Size: 777 KB - Last synced at: 21 days ago - Pushed at: almost 5 years ago - Stars: 18 - Forks: 8

CRIPAC-DIG/DGCF

[ICDM 2020] Python implementation for "Dynamic Graph Collaborative Filtering."

Language: Python - Size: 334 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 43 - Forks: 6

hongleizhang/RSPapers

A Curated List of Must-read Papers on Recommender System.

Size: 1.48 GB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 6,162 - Forks: 1,346

asenacak/recommenderSystems-SteamVideoGames

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

TSonono/collaborative-filtering

Recommendation engine based on collaborative filtering

Language: JavaScript - Size: 127 KB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 47 - Forks: 7

RECeSS-EU-Project/drug-repurposing-datasets

Drug Repurposing Datasets for Collaborative Filtering Methods. Notebooks and code to generate datasets for collaborative filtering-based drug repurposing.

Language: Jupyter Notebook - Size: 190 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

PEDROPERDO/MLMLMLMLM

Caesar : Movie Recommendation System

Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Gourav052003/Collaborative-Filtering-Based-Book-Recommender-System-using-ML-and-Streamlit

This is a collaborative filtering based books recommender system & a streamlit web application that can recommend various kinds of similar books based on an user interest.

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 22 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

maulanakavaldo/movie-recommendation-system

Language: HTML - Size: 201 KB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

SSSxCCC/Recommender-System

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Language: Python - Size: 30.5 MB - Last synced at: 6 months ago - Pushed at: about 4 years ago - Stars: 410 - Forks: 93

somethin4nothing/Movie-Recommendation-System

A movie recommendation system

Language: Jupyter Notebook - Size: 394 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

MrHAM17/Book_Recommendation_System

Project is stable & documentation will be completed soon. Thank you for your understanding and patience.

Language: Python - Size: 149 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

OnYuKang/Recommendation-systems-paperlist

Papers about recommendation systems that I am interested in

Size: 81.1 KB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 363 - Forks: 78

coderjolly/news-recommender

This is a news recommender system that uses beautiful-soup to scrape news articles, their categories and descriptions to create a data dump. It then uses word embedding techniques such tf-idf, word2vec for content based news recommendation and LightRF, LightFM to explore hybrid and collaborative filtering based recommender models.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 1

FarHard112/Spider-V1-Game-Recommender-System

AI-powered game recommendation system using KNN and collaborative filtering, with Flask and C# APIs and an Angular frontend

Language: TypeScript - Size: 491 KB - Last synced at: 22 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

abdullahashfaqvirk/Book-Recommendation-System

A personalized book recommendation system that combines collaborative filtering and popularity-based methods, featuring an interactive HTML/CSS frontend and a Flask backend.

Language: Jupyter Notebook - Size: 17.4 MB - Last synced at: 18 days ago - Pushed at: 7 months ago - Stars: 3 - Forks: 0

Xernnn/Anime-Recommendation Fork of anminhtri/Anime-Recommendation

Introduction to Artificial Intelligent Midterm Project

Language: Jupyter Notebook - Size: 2.05 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

HKUDS/GraphAug

[ICDE'2024] "GraphAug: Graph Augmentation for Recommendation"

Language: Python - Size: 41.7 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 16 - Forks: 2

PaulaLC/netflix-app

A Movie Recommender App

Language: R - Size: 489 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

KayvanShah1/usc-dsci553-data-mining-sp24

USC DSCI 553 - Foundations & Applications of Data Mining - Spring 2024 - Prof. Wei-Min Shen

Language: Python - Size: 29.5 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

gabrycina/spotify-clone

A fully functional Spotify clone! 🎧

Language: JavaScript - Size: 14.4 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 2

EagerAI/fastai

R interface to fast.ai

Language: HTML - Size: 69 MB - Last synced at: about 23 hours ago - Pushed at: 2 months ago - Stars: 118 - Forks: 13

ulyazmah/book-recommendation

An end-to-end data science project involving exploratory data analysis, machine learning modeling and web app deployment of book recommendation system.

Language: Jupyter Notebook - Size: 32.2 MB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 6

Yukta026/book_recommender_system

I have created a book recommender system that recommends similar books to the reader based on his/her interest. This project shows results of collaborative and content-based filtering of the given dataset.

Language: Jupyter Notebook - Size: 39.9 MB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

codeasarjun/MovieMingle

Movie Recommendation System is a web application designed to provide personalized movie recommendations to users based on their input movie titles.

Language: Python - Size: 75.1 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

jeffyjames50/Research_lab

Replicate the original study titled "Bias and Unfairness of Collaborative Filtering Based Recommender Systems in MovieLens Dataset. ” to validate its findings on biases and fairness, focusing specifically on gender and age as primary demographic factors.

Language: Jupyter Notebook - Size: 9.18 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

rogersi9/GA360Recommender

Collaborative Filtering based on Google Analytics 360 data from BigQuery.

Language: HTML - Size: 839 KB - Last synced at: 8 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

GreatEpee/Book-Recommendation-System

Book Recommendation System

Language: Python - Size: 47.3 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

deepmancer/advanced-recommender-system

Advance information retrieval system that combines advanced indexing, machine learning, and personalized search to enhance academic research and document discovery.

Language: Jupyter Notebook - Size: 1.85 MB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 4 - Forks: 0

ananty1/movie_recommendation_tmdb_dataset

Language: JavaScript - Size: 3.01 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

AmirInt/colmix

Collaborative filtering via Gaussian Mixture Models. As part of the MITx course on machine learning with Python - from linear models to deep learning

Language: Python - Size: 3.18 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

s35lay/PMCF

"Adaptive Filter Attention for Multi-level Structure-Aware Graph Self-supervised Learning"

Language: Python - Size: 10.2 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/ML-Project-Book-Recommendation-System

📚 Book recommendation system that utilizes user-friendly collaborative filtering techniques to suggest personalized book recommendations.

Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0

jeongwhanchoi/BSPM

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

Language: Python - Size: 60.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 92 - Forks: 9

jeongwhanchoi/LT-OCF

LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21

Language: Python - Size: 57 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 34 - Forks: 11

gopikrsmscs/mycinepick-recommendation-system

MyCinePick is a user-specific movie recommendation system built using collaborative filtering techniques. This project aims to provide personalized movie suggestions tailored to each user's unique viewing preferences and habits.

Language: Jupyter Notebook - Size: 631 KB - Last synced at: 25 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

LaxmiChaudhary/Amzon-Product-Recommendation

Building Recommendation Model for the electronics products of Amazon

Language: Jupyter Notebook - Size: 53.7 KB - Last synced at: 7 months ago - Pushed at: over 5 years ago - Stars: 91 - Forks: 67

amoussawi/recoder

Large scale training of factorization models for Collaborative Filtering with PyTorch

Language: Python - Size: 3.47 MB - Last synced at: 10 days ago - Pushed at: almost 2 years ago - Stars: 55 - Forks: 7

Jayita11/Book-Recommendation-System-ML

This project develops a Book Recommendation System using collaborative filtering with the Nearest Neighbors (NN) algorithm. The system recommends books by identifying similarities in a user-item matrix, suggesting titles that align with a user's preferences based on historical interactions.

Language: Jupyter Notebook - Size: 24.1 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

karantyagi/Restaurant-Recommendations-with-Yelp

🍕Recommend new restaurants to Yelp users, using ratings predicted from reviews.

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: 19 days ago - Pushed at: over 4 years ago - Stars: 23 - Forks: 6

Aaryan015/AI-book-recommender-system

Hybrid recommender system - Collaborative filtering + Content based filtering (same as used by Netflix).

Language: Jupyter Notebook - Size: 6.16 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

ughrima/Book-Recommendation

A streamlit webapp that recommends books. Based on collaborative filtering.

Language: Jupyter Notebook - Size: 29.2 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ramilchai/capstone

Capstone project for Flatiron

Language: Jupyter Notebook - Size: 34.6 MB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

unclebrod/YelpRecommender

The goal of this project was to build an explicit recommender system using collaborative filtering for restaurants in Charlotte using Yelp's Open Dataset. I wanted to explore the mechanics of recommendations systems, and explore a new library in Surprise.

Language: Jupyter Notebook - Size: 15.1 MB - Last synced at: 9 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0

omkaarlavangare/moviebuddy

Movie Buddy is a movie recommendation system.

Language: Jupyter Notebook - Size: 815 KB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

BNTechie/Movie-Recommendation-Engine

Buiolding up a recommendation engine for movie with Content based model and collaborative filtering methods.

Language: Jupyter Notebook - Size: 5.97 MB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

alisatodorova/Book-Recommender

Comparison of Hybrid Book Recommender Systems: Matrix Factorization with Neural Networks vs. Neural Collaborative Filtering with Attention

Language: Jupyter Notebook - Size: 25 MB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

js05212/CollaborativeDeepLearning-TensorFlow

Officially unofficial TensorFlow code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD

Language: Python - Size: 56.2 MB - Last synced at: 1 day ago - Pushed at: over 5 years ago - Stars: 16 - Forks: 3

AhmedShoeb0/MovieRecommenderSystem

A simple movie recommender system that uses two main approaches to make recommendations: Content-based algorithm and Collaborative filtering algorithm (User-based).

Language: Python - Size: 14.3 MB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

Md-Emon-Hasan/ML-Project-Movie-Recommender-System

ML project on movie recommendation systems, showcasing collaborative filtering and content-based approaches using Python relevant libraries.

Language: Jupyter Notebook - Size: 15.4 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

slavastar/Data-Analysis-Course

Data Analysis course at ITMO University

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

Maoelan/indo-tour-recommend

Dicoding Submission Machine Learning Terapan

Language: Jupyter Notebook - Size: 454 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

MaxineXiong/Item-based-collaborative-filtering

This project utilizes PySpark DataFrames and PySpark RDD to implement item-based collaborative filtering. By calculating cosine similarity scores or identifying movies with the highest number of shared viewers, the system recommends 10 similar movies for a given target movie that aligns users’ preferences.

Language: Jupyter Notebook - Size: 8.44 MB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

PEDROPERDO/War 📦

War : Hi !

Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 9 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

PeiJieSun/NESCL

The code repository for the paper: Peijie et al., Neighborhood-Enhanced Supervised Contrastive Learning for Collaborative Filtering. IEEE TKDE, 2023.

Language: Python - Size: 9.97 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 106 - Forks: 17

PrachiPatel15/Book-Recommender-System

This Streamlit app will recommend top 50 books as well as top 5 similar books similar to user entered,

Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 3

VarunDamodaran/iRecommend

A book recommender that recommends four books similar to the book name you enter

Language: Jupyter Notebook - Size: 101 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

AmandeepMewar/Book-Recommender-System

Python notebook for Book Recommendation System using collaborative filtering.

Language: HTML - Size: 23.5 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

LehengTHU/AlphaRec

The implementation of paper "Language Models Encode Collaborative Signals in Recommendation"

Language: Python - Size: 3.64 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 35 - Forks: 1

sriaravinddesamsetti/Movie-Recommendation-System

The Movie Recommendation System uses AI to provide personalized movie suggestions based on user data and movie features.

Size: 1.79 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

shivangbajaj/Movie-Recommender-System

Recommend the movies with the highest predicted ratings to the user

Language: MATLAB - Size: 447 KB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

arghaboksi/movie-recommender-system

Vectorized Implementation of a Collaborative Filtering based Recommender System.

Language: Python - Size: 890 KB - Last synced at: 9 months ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

Lakshya-GG/Machine-Learning

This repo provides solutions and accompanying notes for the Machine Learning Specialization offered by Stanford University and Deeplearning.ai on Coursera, taught by Professor Andrew Ng, as of the year 2023.

Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

waldysetio/movie-recommender

Movie Recommendation System using model-based collaborative filtering based on over 100.000 ratings applied to more than 9.000 movies.

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 9 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

calistad/Customer_Analysis

Optimize sales while better understand the customers through Classification, Recommendation, and Deep Learning analysis.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

sadegh15khedry/Movie-Recommendation-System-Using-Collaborative-Filtering

building a movie recommendation system using collaborative filtering techniques.

Language: Jupyter Notebook - Size: 6.21 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Nathius262/trend-fitness-recommendation-technique

Trend Fitness is a web application dedicated to providing professional fitness advice which will include a range from fitness plans to diet plans catered to every individual needs. I believe that my web application will embark on a transformative journey towards a healthier lifestyle.

Language: Jupyter Notebook - Size: 586 KB - Last synced at: about 2 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 1

sarkar-sayan/Alfido_Tech-Internship

Data Science Internship

Language: Jupyter Notebook - Size: 7.73 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Arjun0106/FY-Learn_Hub

Learn Hub is a web application that helps to learn any technology in a structured & organized way. The idea is to enhance Internet learning by producing search query results based on higher accuracy and relevance of the content, instead of traditional ranking methods.

Language: Jupyter Notebook - Size: 121 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0

vamsiChelasani/musicRecommendationSystem

A music recommendation system based on Dynamic K-means clustering Algorithm

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

MariahFerns/Insurance-Product-Recommender

App that recommends insurance products based on popularity, content and user similarity.

Language: Jupyter Notebook - Size: 7.55 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

xiong-ying/KG-Rec-Sys-Tourism-SG

Knowledge Graph Construction and Recommender System Development of Tourism in Singapore

Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

mavewrik/movie-recommendation-system

Statistical Machine Learning course project - IIIT Delhi CSE542

Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

farvath/job-recommendation-engine

This job recommendation system helps connect candidates with suitable opportunities by analyzing skills. It combines data from Stack Overflow's 2018 Developer Survey and a Kaggle dataset.Improved job-candidate matching for a more efficient hiring process. Personalized recommendations based on skills and past successes.

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

KNODIS-Research-Group/dl-cf-groups-deep-aggregation

dl-cf-groups-deep-aggregation

Language: Jupyter Notebook - Size: 6.53 MB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

lenguyenthedat/raptor

A lightweight product recommendation system (Item Based Collaborative Filtering) developed in Haskell.

Language: Haskell - Size: 593 KB - Last synced at: 13 days ago - Pushed at: about 8 years ago - Stars: 33 - Forks: 2

sansalgo/radius

Radius is a movie streaming website built with Python, Django, and MySQL.

Language: HTML - Size: 42 MB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

kyuhyeokseo/LibraryDBsystem

library DB system with a recommendation function

Language: Python - Size: 10.7 KB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

RaunakSingh0312/MovieRecommendationSystem

Welcome to our movie recommendation system project repository! This repository hosts the codebase for our machine learning project focused on developing a movie recommendation system. Our aim is to provide users with personalized movie recommendations.

Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

areeba0/Book-Search---Recommendation-System-with-HTML-CSS--JS-Wikipedia-API-Flask----Collaborative-Filtering

Wanderlust Reads is a Flask-driven book application that uses Wikipedia API for book searching and techniques like Collaborative Filtering using the KNN model for recommendations. It uses HTML, CSS, and Vanilla JavaScript for the front end. It also has an add-to-cart and ordering books functionality.

Language: Jupyter Notebook - Size: 332 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Joinn99/FPSR

[WWW '23] The official implmentation of our paper "Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation"

Language: Jupyter Notebook - Size: 13.3 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

Joinn99/CoRML

[SIGIR '23] The official implementation of paper "Collaborative Residual Metric Learning"

Language: Jupyter Notebook - Size: 37 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 5 - Forks: 0

Eakta08/Book-RS-KNN-Clustering

Project based on Collaborative filtering using KNN clustering on books dataset, along with Streamlit webapp

Language: Jupyter Notebook - Size: 24.6 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Eakta08/User-based-Collaborative-Filtering-Movie-RS

Project based on Collaborative Filtering Recommendation System (User-Based) using Streamlit on movies dataset

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Eakta08/Item-based-Collaborative-Filtering-Movie-RS

Project based on Collaborative Filtering Recommendation System (Item-based) using Streamlit on movies dataset

Language: Jupyter Notebook - Size: 1.52 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

max0ne/twinkeydow

it recommends github repos

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: 15 days ago - Pushed at: almost 6 years ago - Stars: 8 - Forks: 0

GHamrouni/Recommender

A C library for product recommendations/suggestions using collaborative filtering (CF)

Language: C - Size: 75.2 MB - Last synced at: 9 months ago - Pushed at: almost 3 years ago - Stars: 264 - Forks: 64

TSS-sniper/Movie-Recommendation

An effective movie recommendation system that can provide personalized movie recommendations using user-based collaborative filtering.

Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Quang-Vinh/matrix-factorization

Library for matrix factorization for recommender systems using collaborative filtering

Language: Python - Size: 116 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 20 - Forks: 6

bursasha/flask-react-spearman-recsys

Movie Recommendation System based on the Spearman's rank correlation 🎞️

Language: Python - Size: 1.75 MB - Last synced at: 24 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ManasiPandit48/Movie-Recommendation-systems

This repository offers a comprehensive suite of models for building a robust movie recommendation system. It explores various recommendation techniques including collaborative filtering, content-based filtering, and matrix factorization. Each approach is designed to enhance the user experience by providing personalized movie suggestions. Detailed d

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

imtej/Recommendation-System-For-Books

Recommendation System for Books using Collaborative Filterings: An ML Project to Recommend 'n' similar Books for a given book, as per the Collaborative users' ratings of the books. This Project also involves the deployment in a Flask Based web application.

Language: Jupyter Notebook - Size: 39.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

fpaupier/movie_recommender 📦

A simple movie recommendation system using collaborative filtering.

Language: MATLAB - Size: 433 KB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 3