GitHub topics: collaborative-filtering
sayhitosandy/DRMF_Project ๐ฆ
Collaborating Filtering Project
Language: Python - Size: 65.5 MB - Last synced at: 11 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0
HKUDS/GFormer
[SIGIR'2023] "GFormer: Graph Transformer for Recommendation"
Language: Python - Size: 7.43 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 50 - Forks: 11
HKUDS/GraphPro
[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
Language: Python - Size: 377 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 41 - Forks: 0
proin/nodeml
machine learning framework for node.js
Language: JavaScript - Size: 7.64 MB - Last synced at: 5 days ago - Pushed at: about 8 years ago - Stars: 32 - Forks: 4
Aninditaacha/CODSOFT-TASK-3
I developed a simple content-based recommendation system that suggests movies to users based on their preferences. Users can enter a movie they like, and the system recommends other movies with similar genres. This project helped me understand the basics of recommendation systems and content-based filtering techniques.
Language: JavaScript - Size: 5.86 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
SahilSingh-15/OnlineBookStore
An Online Book Store built in java that also recommends Books based on user's favourite book using a machine learning model in Python integrated through a Flask API.
Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
oguzaktas/book-recommendation-system ๐ฆ
Book recommendation system through user-based collaborative filtering approach with Java, MySQL, JDBC, Book-Crossing dataset and ICEpdf library
Language: Java - Size: 30.2 MB - Last synced at: 11 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0
ilya-shenbin/ImplicitSLIM
The official implementation of the paper "ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering"
Language: Jupyter Notebook - Size: 22.5 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
ZeusCoderBE/Recommender-System
Content-based Filtering, Neighborhood-based Collaborative Filtering
Language: Jupyter Notebook - Size: 2.83 MB - Last synced at: 28 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
ilya-shenbin/RecVAE
The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
Language: Python - Size: 23.4 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 105 - Forks: 28
mhadeli/RecSys-Collaborative-Filtering
Recommendation System Based on Collaborative Filtering
Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
whykay-01/movie-recommender-system
Final project for the big data class at NYU where I developed a movie recommendation system using MovieLens database and compared its performance against the popularity based models and other vanilla metrics
Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
shabiasaeed/SOEN471
SOEN471 Project - Team 10 - Winter 2024
Language: Jupyter Notebook - Size: 617 KB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
Nourine-Nadir/Collaborative-filtering-recommander
Collaborative filtering is a recommendation technique that relies on collecting and analyzing user interactions, behaviors, or preferences to make predictions and suggest items or content that users might find relevant.
Language: Jupyter Notebook - Size: 15.6 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Shubham-Singla259/Book-Recommendation-System-using-Machine-Learning
A book recommendation system using machine learning is designed to provide personalized reading suggestions to users based on their preferences, reading history, and behavior. The system employs various machine learning algorithms and techniques to analyze large datasets and predict the likelihood of a user enjoying a particular book.
Language: Jupyter Notebook - Size: 52.7 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
ariaattar/CASM-PyTorch
PyTorch Implementation of Context-Aware Sequential Model for Multi-Behaviour Recommendation https://arxiv.org/abs/2312.09684
Language: Python - Size: 42.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 4 - Forks: 1
andrewmcloud/consimilo
A Clojure library for querying large data-sets on similarity
Language: Clojure - Size: 536 KB - Last synced at: 13 days ago - Pushed at: about 6 years ago - Stars: 63 - Forks: 4
nikita9604/Movie-Recommendation-Website
Movie Recommendation System created using Collaborative Filtering (Website) and Content based Filtering (Jupyter Notebook)
Language: Jupyter Notebook - Size: 2.16 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 18 - Forks: 9
Jayveersinh-Raj/ncf_recommender_system
Neural collaborative filtering recommendation system on Movie lens 100k dataset
Language: Jupyter Notebook - Size: 25.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
trtrgfh/Movie-Recommender-System
Language: Jupyter Notebook - Size: 3.63 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
cosanlab/neighbors
A package to perform collaborative filtering on emotion datasets.
Language: Python - Size: 6.13 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 9
tgchacko/Movie-Recommender
Movie Recommender
Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
vinhphuctr/Movie_recommendations_with_RBMs
Using Restricted Boltzmann Machine model for movie recommendations
Language: Jupyter Notebook - Size: 48.8 KB - Last synced at: 11 months ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
saivikas1/Music-Recommender-System
Language: Python - Size: 29.1 MB - Last synced at: 3 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
kunal-mallick/Book_Recommendation
We are proud to introduce our new book recommendation system, book.io. This system uses the user-to-user collaborative filtering model to recommend books to users based on their preferences and ratings.
Language: Jupyter Notebook - Size: 115 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
massquantity/LibRecommender
Versatile End-to-End Recommender System
Language: Python - Size: 11.1 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 320 - Forks: 58
Anotherafael/STUDY_WineRecommendation
This project developed two wine recommendation models using the XWines dataset, employing collaborative filtering and content-based techniques. It leveraged Python, Numpy, Pandas, Jupyter Notebook, VSCode, and Scikit-learn.
Language: Jupyter Notebook - Size: 16.6 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
Ubeydkhoiri/recommender-system-using-apriori
This repository contains a recommendation system implemented using the Apriori algorithm for frequent itemset mining and association rule generation. The recommendation system aims to suggest relevant products to users based on their past purchase history.
Language: Jupyter Notebook - Size: 13 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
Crone1/Last.fm-Recommender-System
This project involved designing and implementing a recommendation system for song artists using the Last.fm dataset
Language: Jupyter Notebook - Size: 511 KB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 0
Asifahmad5848/Movie-Recommendation-System
Movie Recommendation System using Collaborative Method (User - User similarity , Item-Item similarity)
Language: Jupyter Notebook - Size: 31.2 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
HasibAlMuzdadid/Recommender-Systems
This repository contains various recommender systems which I have implemented so far.
Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 5 - Forks: 1
mfathul21/food-recommendations
Food Recommendations System With Content Based Filtering and Collaborative Filtering
Language: Jupyter Notebook - Size: 794 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
adrianmarino/thesis-paper
Collaborative and hybrid recommendation systems
Language: Jupyter Notebook - Size: 353 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1
MuneebKhan-7/Recommender-Systems
Language: Jupyter Notebook - Size: 2.13 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
kajallochab/CollabCraft
Collaborative Filtering: Item-Item collaborative filtering and User-User collaborative filtering
Language: Jupyter Notebook - Size: 4.88 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
yihong-chen/neural-collaborative-filtering
pytorch version of neural collaborative filtering
Language: Jupyter Notebook - Size: 14 MB - Last synced at: 11 months ago - Pushed at: 12 months ago - Stars: 449 - Forks: 144
sunsikim/pt-rec-simplex
How Pytorch implementation of SimpleX model training logic might look like in production
Language: Python - Size: 1.98 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
datamarket-tobigs/TripBigs_Web Fork of csy1204/TripBigs_Web
[์ 10ํ ํฌ๋น ์ค ์ปจํผ๋ฐ์ค] Tripbigs - ํธํ ๋ถํฐ ๋ง์ง๊น์ง, ์ฌํ๊ฐ์ ์ํ ์ถ์ฒ ์์คํ
Language: Python - Size: 2.95 MB - Last synced at: 12 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0
lucasvinhtran/group-recommender-systems
This repository contains recent research papers, datasets, and source codes (if any) for Group Recommendation
Size: 4.88 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 48 - Forks: 5
rajlm10/What-to-watch
Machine-learning and statistics based movie recommendation system
Language: Python - Size: 8.62 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 4 - Forks: 0
sayande01/Book_Recommender_System_Machine_Learning
This project aims to build an advanced book recommendation system by integrating collaborative filtering, content-based filtering, and machine learning. It offers tailored suggestions based on user preferences and interactions, using EDA for insights and cosine similarity and SVD for precise recommendations.
Language: Jupyter Notebook - Size: 402 KB - Last synced at: 21 days ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Shivam1603/Movies-Recommender-System
Language: Python - Size: 5.6 MB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
KNODIS-Research-Group/neural-cf-for-groups
Language: Jupyter Notebook - Size: 91.3 MB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 2 - Forks: 0
Ayushma00/Text-Mining-and-Recommendation-System-for-Yelp-Dataset-
Restaurant Recommendation Application
Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 1
shadowbourne/CACBCF-Recommender-System
3rd Year: 1st - 92. A Novel Context Aware Restaurant Recommender System Using Content-Boosted Collaborative Filtering (CACBCF).
Language: Python - Size: 43.1 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
alejandronotario/Craft-Beer-Recommender
Language: Jupyter Notebook - Size: 2.5 MB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 1 - Forks: 0
srp98/Movie-Recommender-using-RBM
A Movie Recommender System using Restricted Boltzmann Machine (RBM), approach used is collaborative filtering.
Language: Python - Size: 5.61 MB - Last synced at: 12 months ago - Pushed at: almost 7 years ago - Stars: 32 - Forks: 27
riolaf05/spark-elasticsearch-recommendation
Recommendation system using Alternating Least Squares(ALS) and Cosine Similarity on PySpark and Elasticsearch
Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
windson/Recommender-Systems
Recommender Systems with Collaborative Filtering
Language: Jupyter Notebook - Size: 712 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0
kdevo/chaos-rrs
Chaos - a first of its kind framework for researching Reciprocal Recommender Systems (RRS).
Language: Python - Size: 1.79 MB - Last synced at: 12 months ago - Pushed at: over 3 years ago - Stars: 11 - Forks: 1
ztqsteve/Yelp-Data-Challenge
Apply machine learning algorithms to data analysis,modeling and recommender system for hands-on practice.
Language: Python - Size: 227 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 3 - Forks: 1
luigiselmi/mahoutrecommender
A recommender system based on Apache Mahout
Language: Java - Size: 5.66 MB - Last synced at: 12 months ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0
mariodmtrv/music-recommendations
Music recommender system with collaborative and content-based filtering
Language: Python - Size: 22.5 KB - Last synced at: 12 months ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1
manoharpalanisamy/Machine-Learning
It consists of base machine learning algorithms and applied mathematics has Involved
Language: HTML - Size: 255 MB - Last synced at: 12 months ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0
skyer9/collaborative-filtering-in-mysql
collaborative filtering in mysql
Size: 65.4 KB - Last synced at: 12 months ago - Pushed at: almost 6 years ago - Stars: 14 - Forks: 0
TommyNiemi/RECOMMENDER_SYSTEM
A movie recommender. Collaborative and content based filtering hybrid model.
Language: HTML - Size: 1.61 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
yessasvini23/Music_recommendation_system_Project
Music-Recommendation-System-Project Problem Statement: This is a recommendation system project, that analyzes user preferences and to provide personalized recommendations. This system aims to simplify decision-making, enhance music discovery, and improve the overall user experience.
Language: Jupyter Notebook - Size: 5.05 MB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
jrzaurin/RecoTour
A tour through recommendation algorithms in python [IN PROGRESS]
Language: Jupyter Notebook - Size: 6.56 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 176 - Forks: 38
dsfx3d/movielens ๐ฆ
A Feature Preference based CF Experiment on MovieLens 100K dataset
Language: Jupyter Notebook - Size: 12.8 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
tuansunday05/ArticleRecommenderSystem
Using hybrid recommender system with apriori algorithm, content-based and collaborative filtering method for predicting users interactions and then recommend them for users.
Language: Jupyter Notebook - Size: 8.93 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 3
HKUDS/PromptMM
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
Language: Python - Size: 884 KB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 26 - Forks: 1
HKUDS/DCCF
[SIGIR'2023] "DCCF: Disentangled Contrastive Collaborative Filtering"
Language: Python - Size: 51.8 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 45 - Forks: 5
Vikas-KM/movie-recommender-system
Movie Recommender System Machine Learning Model
Language: Jupyter Notebook - Size: 831 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
vvHacker007/Movie-Recommendation-System Fork of adityamukherjee42/Movie-Recommendation-System
Movie Recommendation System made using Collaborative and Content based filtering as a part of the AI Project
Size: 14.6 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
sadensmol/plan_deep_learning
Language: Jupyter Notebook - Size: 238 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
shromana98/Collaborative-Filtering
Movie Recommendation System (Collaborative Filtering
Language: Jupyter Notebook - Size: 82 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
AlexGidiotis/keras-CF-NADE
keras implementation of Neural Autoregressive Distribution Estimator for Collaborative Filtering
Language: Python - Size: 23.4 KB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 9 - Forks: 4
mwaboff/MonkeyScripts
Built using PHP7/Laravel and Javascript/React. MonkeyScripts.org is a modern userscript hosting and sharing site. Implements a custom recommendation system and innovative tutorial.
Language: PHP - Size: 4.71 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0
opw0011/COMP4651_Movie_Recommendation_Model
COMP4651 Spark ML Project
Language: Jupyter Notebook - Size: 102 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 2 - Forks: 4
tseste/nbcf
A collection of neighborhood based collaborative filtering variants
Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0
Ar11rA/Final-Year-Project
A recommendations and prediction engine to make travel serivices easier for everyone.
Language: HTML - Size: 12.8 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1
Pratik94229/Book-Recommendation-System
This repository contains the code for a book recommendation system that uses natural language processing techniques to recommend books to users based on their preferences.
Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0
PreferredAI/bi-vae
Code for the paper "Bilateral Variational Autoencoder for Collaborative Filtering", WSDM'21
Language: Python - Size: 66.4 KB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 33 - Forks: 4
abhishekjiitr/movie-recommendation-system
Machine Learning project based on Collaborative Filtering on the MovieLens dataset
Language: Python - Size: 12.6 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1
RaffayHusayn/Collaborative-Filtering
Collaborative Filtering Model developed using Tensorflow and trained on MovieLens Dataset. This Model is based on Neural Collaborative Filtering research paper.
Language: Jupyter Notebook - Size: 72.3 KB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
donigian/item-based-movie-recommender-system
Item based collaborative filter which makes movie recommendations.
Language: Jupyter Notebook - Size: 888 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 2
yennanliu/movie_recommendation
Build recommendation algorithms via movie data that can be potentially applied to customized content such as music, and ecommerce
Language: Jupyter Notebook - Size: 29.9 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0
pratzss/Netflix_Movie_Recommendation
The objective of this project is to build a recommendation system to recommend movies to users based on the ratings given to different movies by the users.
Language: Jupyter Notebook - Size: 1.38 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
rachitdani/Book-Recommender-System
A streamlit app to recommend books based on users interest
Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
vaslnk/Spotify-Song-Recommendation-ML
UC Berkeley team's submission for RecSys Challenge 2018
Language: Jupyter Notebook - Size: 34.2 MB - Last synced at: 11 months ago - Pushed at: almost 7 years ago - Stars: 86 - Forks: 22
tebesu/CollaborativeMemoryNetwork
Collaborative Memory Network for Recommendation Systems, SIGIR 2018
Language: Python - Size: 32.6 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 181 - Forks: 57
AIAnytime/Recommendation_System_Implementation
Complete concepts behind implementing a Recommendation System using Association Rules, Collaborative Filtering, and Matrix Factorization.
Language: HTML - Size: 631 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 1
bowbowbow/CollaborativeFiltering
simple c++ implementation of collaborative filtering.
Language: C++ - Size: 2.09 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 20 - Forks: 2
ArmandoGaGo/Amazon-Recomendation-System
Build a recommendation system to recommend products to customers based on their previous ratings for other products.
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
ArmandoGaGo/Music-Recommendation-System
Build a recommendation system to propose the top 10 songs for a user based on the likelihood of listening to those songs.
Language: Jupyter Notebook - Size: 813 KB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Xhst/atcs-fairness-recommendation
Project for the lessons on Fairness Recommendation, held by professor Kostas Stefanidis, from the course Advanced Topics in Computer Science (ATCS) at Roma Tre University.
Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
prashantgautam96/recommendationEngine
It is a movie recommendation system that uses collaborative filtering and matrix factorization to suggest personalized movies. It features an interactive Streamlit UI, making it easy for users to find movies tailored to their tastes. The system analyzes a rich dataset of movie ratings and metadata to provide accurate recommendations.
Language: Python - Size: 6.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
hamadichihaoui/CF_Algorithms
Language: Python - Size: 30.3 KB - Last synced at: about 1 year ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 0
PhamThe-KHDL/DS300.N11-Recommendation-System
DS307.N11 - Hแป Khuyแบฟn Nghแป
Language: Jupyter Notebook - Size: 39.7 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
srimallipudi/Movie-Recommendation-Service-using-Apache-Spark
This project implements a movie recommendation service with Apache Spark using collaborative filtering. Utilizes MovieLens dataset for user ratings, predicting preferences based on similar users' ratings, and providing personalized movie recommendations for users based on their preferences and viewing history.
Language: Jupyter Notebook - Size: 2.07 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
HKUDS/DGNN
[ICDE'23] "DGNN: Disentangled Graph Social Recommendation"
Language: Python - Size: 75.8 MB - Last synced at: 12 months ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 1
HKUDS/RCL
[Recsys'2023] "RCL: Multi-Relational Contrastive Learning for Recommendation"
Language: Python - Size: 26.4 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 0
HKUDS/GTE
[CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"
Language: Python - Size: 16.4 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 16 - Forks: 0
HKUDS/SimRec
[WWW'23] "SimRec: Graph-less Collaborative Filtering"
Language: Python - Size: 41.4 MB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 25 - Forks: 6
HKUDS/AutoCF
[WWW'23] "AutoCF: Automated Self-Supervised Learning for Recommendation"
Language: Python - Size: 10.6 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 43 - Forks: 7
carson-evans/book-recommendation-knn
This project utilizes the k-nearest neighbors algorithm to power a book recommendation system, providing personalized suggestions based on user rating patterns.
Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
shik3519/collaborative-filtering
Implementation of collaborative filtering using fastai and pytorch
Language: HTML - Size: 55.3 MB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 10 - Forks: 11
imciflam/music-collaborative-filtering
Collaborative filtering method using k-nearest neighbors algorithm for music recommendation
Language: Python - Size: 36.3 MB - Last synced at: 11 months ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0
shivam15112003/Amazon_Product_Recommendation
Building Recommendation Model for the electronics products of Amazon
Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
abd1007/Movie-Recommendation-System-Web-Application
Building a Movie Recommendation System web application using Django framework and Collaborative Filtering technique
Language: HTML - Size: 2.77 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 59 - Forks: 25
