GitHub topics: collaborative-filtering

henry-azer/book-recommendation-system

The book recommendation system is a web application developed using the Java Spring Boot framework and under it's the principles of software clean architecture. The system recommendations based on user-based collaborative filtering

Language: Java - Size: 236 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 18 - Forks: 2

dchobarkar/movie-recommender-python

Hands-on Movie Recommender in Python using MovieLens dataset.

Language: Python - Size: 844 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

lakshya076/Cinematch

Movie Recommender (School Project)

Language: Python - Size: 3.61 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

Mohabdo21/HybridRec-ContextEnrichment

An advanced hybrid recommendation system that combines collaborative filtering and content-based filtering approaches, enhanced with temporal awareness and contextual personalization

Language: Python - Size: 2.49 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

hadush-negasi/recipe-recommender

A content and collaborative filtering-based recipe recommendation system built with Streamlit and Firebase

Language: Jupyter Notebook - Size: 74.9 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

owj0421/recsys_basics

Implementation of Basic Recommendation System Models with PyTorch

Language: Python - Size: 78.1 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 0

mayukh18/reco

a simple yet versatile recommendation systems library in python

Language: Python - Size: 8.44 MB - Last synced at: 18 days ago - Pushed at: about 2 years ago - Stars: 53 - Forks: 20

mlkav/movie-recommendation-system

Language: HTML - Size: 392 KB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

yamika-g/Song-Recommendations-Genre-Classification

How do platforms like Spotify seem to know exactly what song you want to hear next? Can we classify songs into genres based only on how they sound?

Language: Python - Size: 4.26 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

avrtt/price-profiler

E-commerce pricing optimization & dynamic user profiling

Language: Python - Size: 15.6 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

jalajthanaki/Movie_recommendation_engine

This repository contains the code for building movie recommendation engine.

Language: Jupyter Notebook - Size: 7.02 MB - Last synced at: 17 days ago - Pushed at: about 7 years ago - Stars: 77 - Forks: 53

xiangwang1223/disentangled_graph_collaborative_filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

Language: Python - Size: 18.1 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 139 - Forks: 29

Yash-Gavade/Mini-Project_-Bollywood-Movie-Recommendation

Bollywood Movie Recomendation System .

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

irecsys/DeepCARSKit

A Deep Learning Based Context-Aware Recommendation Library

Language: Python - Size: 6.04 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 22 - Forks: 4

evelyncy96/Movie-Recommendation-System

We create movie recommendation system through demographic filtering, content-based filtering, collaborative filtering, and hybrid engine.

Language: Python - Size: 104 KB - Last synced at: 28 days ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

RajathPatilKulkarni/Music-Recommendation-API

A music recommendation system built using Collaborative Filtering on the Spotify Million Playlist Dataset (170,089 songs). The system suggests songs based on user preferences, utilizing collaborative filtering to recommend tracks. It features a Streamlit web interface for easy user interaction.

Language: Python - Size: 7.87 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

snowch/movie-recommender-demo

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

Language: Jupyter Notebook - Size: 28.5 MB - Last synced at: 2 months ago - Pushed at: about 2 years ago - Stars: 99 - Forks: 56

paritoshtripathi935/Product-Matching

The topic is about product matching via Machine Learning. This involves using various machine learning techniques such as natural language processing, image recognition, and collaborative filtering algorithms to match similar products together.

Language: Python - Size: 8.45 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 17 - Forks: 2

ZiyaoGeng/SimpleCF

A simple start for collaborative filtering.

Language: Python - Size: 7.32 MB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 2

NoisyWinds/Recommend

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

Language: Python - Size: 3.69 MB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 105 - Forks: 36

slman-jpoa/LaughterLens

LaughterLens is a collaborative filtering-based recommendation system that predicts user preferences for jokes using cosine similarity. It provides personalized joke recommendations, evaluates performance with Mean Absolute Error, and compares results with a baseline random recommender system.

Language: Jupyter Notebook - Size: 34.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

shivam1808/Recommendation-System

Recommendation System Using three different approaches Simple Recommendation Using Correlation, Using KNN and Collaborative Filtering.

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 16 - Forks: 16

lsjsj92/recommender_system_with_Python

recommender system tutorial with Python

Language: Jupyter Notebook - Size: 606 KB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 199 - Forks: 98

etlundquist/rankfm

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Language: Python - Size: 2.15 MB - Last synced at: 16 days ago - Pushed at: 10 months ago - Stars: 176 - Forks: 37

joffinjoy/o-horizon-recommendation

Reference repository for the O-Horizon Recommendation Engine featured in Neo4j Graphversation Episode 2

Language: JavaScript - Size: 15 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 4 - Forks: 2

sidyr6002/Zee-Recommender-System

A movie recommendation system

Language: Jupyter Notebook - Size: 8.01 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

HKUDS/LightGCL

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

Language: Python - Size: 51.2 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 182 - Forks: 17

bryanmanobanda/restaurant-recommendation-system

A restaurant recommendation system designed to enhance tourists' dining experiences by seamlessly integrating their personal preferences and real-time location through a hybrid algorithm for more accurate and personalized suggestions

Language: TypeScript - Size: 453 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AdityaSreevatsaK/Suggestify-RecommendationSystems

Suggestify-RecommendationSystems is a dedicated repository for implementing and experimenting with traditional recommendation system techniques. It covers collaborative filtering, content-based methods, and hybrid approaches, focusing on practical and scalable solutions for personalised recommendations across various domains.

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AbsarRaashid3/LaughterLens

LaughterLens is a collaborative filtering-based recommendation system that predicts user preferences for jokes using cosine similarity. It provides personalized joke recommendations, evaluates performance with Mean Absolute Error, and compares results with a baseline random recommender system.

Language: Jupyter Notebook - Size: 35.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

adrianmarino/thesis-paper-tex

Personalized content recommendation chatbot (Thesis LaTeX Doc)

Language: TeX - Size: 29.5 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

pcy1302/TransCF

Collaborative Translational Metric Learning (ICDM 2018)

Language: Jupyter Notebook - Size: 347 MB - Last synced at: 29 days ago - Pushed at: almost 4 years ago - Stars: 17 - Forks: 10

khanhnamle1994/MetaRec

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

Language: Python - Size: 626 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 303 - Forks: 77

philiptitus/Book-Recommendation

Recommender system using collaborative filtering algorithm for recommnding books to read

Language: Jupyter Notebook - Size: 4.28 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SciddhantoSinha/Book-Recommender-System-Using-Collaborative-Filtering

This project implements a book recommendation system using machine learning techniques. It helps users find books based on preferences, book ratings, and similarity measures.

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

HKUDS/SSLRec

[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Language: Python - Size: 103 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 503 - Forks: 72

Juwono136/book-recommendation-system-using-content-based-filtering-and-collaborative-filtering

Book recommendation system using model development with Content-Based Filtering and Collaborative Filtering techniques.

Language: Jupyter Notebook - Size: 24 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 2

cybot-95/Trip_Buddy_Server_Repo

A Collaborative Filtering based recommender system which uses Google Maps and Firebase to fetch places and recommend.

Language: Python - Size: 33.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

azita4/NextRead

NextRead is a book recommender system created specifically for book readers. It allows a user to get personalised recommendation with a user-friendly interface. This is my final year project.

Language: HTML - Size: 34.2 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

jeongwhanchoi/SCONE

"SCONE: A Novel Stochastic Sampling to Generate Contrastive Views and Hard Negative Samples for Recommendation", WSDM 2025

Language: Python - Size: 3.06 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 4 - Forks: 0

himanshuagrawal18/SentimentBasedProductRecommendationSystem

Find top 5 recommended products for a given user of an e-commerce platform using collaborative filtering and sentiment analysis to increase sales.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Niranjan-stat/Recommendation-Systems-Electronic-Dataset-from-Amazon

Popularity based systems for popular items which are in trend right now, Collaberative Filtering (Item-Item) is used for the above customer based on the purchase history of other customers in the website.

Language: Jupyter Notebook - Size: 737 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

XuefengHuang/RecommendationSystem

Book recommender system using collaborative filtering based on Spark

Language: Python - Size: 48.8 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 378 - Forks: 107

rajaprerak/movie_recommender

Movie Recommender System with Django.

Language: Python - Size: 1.27 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 73 - Forks: 43

marcndo/movie-recommendation

A Movie Recommendation Engine using Collaborative Filtering and the MovieLens dataset to suggest movies based on user preferences. Built with Python and Flask for easy integration.

Language: Python - Size: 45.9 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ersel271/movie-recommendation-system

A collaborative filtering-based movie recommendation system in C++.

Language: C++ - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

alextanhongpin/recommender-learn

Knowledge base for recommendation engine, includes algorithms and implementations.

Language: Jupyter Notebook - Size: 2.98 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

anwesha0123/Unsupervised_Learning_Practice

This repository contains a collection of unsupervised learning projects leveraging machine learning techniques such as clustering, dimensionality reduction, and anomaly detection. These projects are designed to extract meaningful insights from unlabeled data using algorithms like K-Means, DBSCAN, PCA, Autoencoders, and more.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

karan3691/Ecommerce-Recommender

A machine learning-based recommendation system designed for an e-commerce platform.

Language: Python - Size: 2.45 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

5ss90/Market_Basket_Analysis

A data mining project analyzing Instacart's 3 million grocery orders to uncover customer shopping patterns and product associations. Using market basket analysis and the Apriori algorithm, the project reveals key insights about shopping behavior, product combinations, and temporal patterns, providing valuable recommendations for retail strategy

Language: Jupyter Notebook - Size: 203 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

clemsadand/amlas

A recommender system built from scratch based on collaboration filtering algorithm in Python using NumPy library

Language: Jupyter Notebook - Size: 19.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

shib1111111/SereneSounds

SereneSounds is a sophisticated music curation web app that leverages various recommendation techniques to provide users with diverse and personalized music suggestions.

Language: Jupyter Notebook - Size: 25.2 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 2

songwo-153/Collaborative-filtering-music-recommendation-system

基于Springboot协同过滤算法音乐推荐系统开发语言：Java 框架：springboot JDK版本：JDK1.8 服务器：tomcat7 数据库：mysql 5.7 数据库工具：Navicat11 开发软件：idea Maven包：Maven3.3.9 项目介绍: 后端框架使用Springboot+mybatis 前端框架使用Vue 数据库使用mysql 推荐算法使用协同过滤推荐法前台界面采用智能排序向用户进行推荐

Size: 12.3 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

songwo-153/Collaborative-filtering-algorithm-news-recommendation-system

SpringBoot和SSM实现基于协同过滤算法的个性化新闻推荐系统，使用了基于用户的协同过滤推荐算法，根据评分数据计算推荐，同时还使用了新用户喜好标签进行混合推荐，及将两种推荐结果全部输出，解决了冷启动和数据稀疏性问题。同时采用基于统计的热点推荐和相关推荐等。采用爬虫收集新闻数据实时更新新闻数据和推荐结果。

Size: 13.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

Bwhiz/Recommender-System-ALS

This repository contains the code and resources for building a personalized movie recommendation system using matrix factorization, incorporating both latent factors and bias terms.

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 4 months ago - Pushed at: 4 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: about 2 months ago - Pushed at: over 5 years ago - Stars: 367 - Forks: 77

mengfeizhang820/Paperlist-for-Recommender-Systems

Recommender Systems Paperlist that I am interested in

Size: 157 KB - Last synced at: 2 months ago - Pushed at: almost 4 years ago - Stars: 452 - Forks: 96

saadabdullah-15/Recommender_System_Ecommerce

A machine learning-based recommender system for e-commerce products, built using collaborative filtering techniques (User-User & Item-Item CF), SVD-based matrix factorization, and correlation-based recommendations to enhance product discovery and user experience.

Language: Jupyter Notebook - Size: 311 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

MaurizioFD/RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

Language: Python - Size: 216 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 987 - Forks: 249

karapostK/hassaku

Hassaku is a(nother) research-oriented Recommender System Framework written mostly in Python and leveraging PyTorch. Hassaku hosts the main procedure for data processing, training, testing, hyperparameter optimization, metrics computation, and logging for several Collaborative Filtering-based Recommender Systems.

Language: Python - Size: 2.62 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 10 - Forks: 0

kapeed54/Online-Book-Store-With-Recommendation-System

This project deals with developing an e-commerce website for Online Book Sale. It provides the user with a catalog of different books available for purchase in the store. In order to facilitate online purchase a shopping cart is provided to the user. The users are recommended on the basis of previous users rating.

Language: Python - Size: 119 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 25 - Forks: 14

CYY-CYY-CYY/Hybrid-Recommendation-System

A hybrid recommendation system combining Item-Based Collaborative Filtering and Content-Based Filtering to suggest skincare products based on user preferences, product ingredients, and ratings. Features a Flask API and an interactive Streamlit Web App for personalized recommendations.

Size: 1.95 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

scottroot/Grocery-Rec-Demo

An interactive demo showcasing various recommendation system approaches applied to grocery cart analysis, leveraging the Instacart dataset for practical insights.

Language: TypeScript - Size: 391 KB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AmanPriyanshu/Federated-Recommendation-Neural-Collaborative-Filtering

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to federate this recommendation system.

Language: Python - Size: 135 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 36 - Forks: 5

SaniyaAbushakimova/Movie-Recommender-System

An interactive Movie Recommender System built from scratch using collaborative filtering. It includes a Dash web app where users can rate movies and receive personalized recommendations in real-time. Tech: Python (numpy, pandas, dash, )

Language: Jupyter Notebook - Size: 60.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

satishrath185/Product-Recommendation

Product Recommender System for Retail Dataset

Language: Jupyter Notebook - Size: 127 KB - Last synced at: 28 days ago - Pushed at: over 4 years ago - Stars: 14 - Forks: 4

Wiederholung/CollabXplorer

Mining and Recommendation of Interdisciplinary Academic Collaboration

Language: Jupyter Notebook - Size: 130 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 4 - Forks: 1

tonyduan/matrix-completion

Lightweight Python library for in-memory matrix completion.

Language: Python - Size: 2.78 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 107 - Forks: 27

Kartik-Katkar/Recommendation-system

This repository houses a recommendation system that's built using collaborative filtering and the K-nearest neighbors (KNN) algorithm. It helps suggest items based on the preferences and behaviors of users, making it a valuable tool for personalized recommendations.

Language: Python - Size: 6.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 2

christakakis/SmokersCollabFilter

Personalized smoking recommendations based on Collaborative Filtering.

Language: Jupyter Notebook - Size: 220 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

HKUDS/EasyRec

"EasyRec: Simple yet Effective Language Model for Recommendation"

Language: Python - Size: 501 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 107 - Forks: 13

RECeSS-EU-Project/benchscofi

Package which contains implementations of published collaborative filtering-based algorithms for drug repurposing.

Language: Python - Size: 3.38 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 2

Jyotshna25/CODSOFT__TASK4

A simple Collaborative Filtering Recommendation System 📽️🎵 built with Python. It suggests movies and music based on user preferences using similarity-based recommendations. 🚀

Language: Python - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

RECeSS-EU-Project/stanscofi

Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.

Language: Python - Size: 19.2 MB - Last synced at: 7 days ago - Pushed at: 4 months ago - Stars: 1 - Forks: 1

sarmadahmad8/Book-Recommender-System-using-classical-ML-techniques

Book Recommender System - 5 approaches

Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: 15 days ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

RECeSS-EU-Project/JELI

Joint Embedding-classifier Learning for improved Interpretability (JELI)

Language: Python - Size: 44.9 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

RECeSS-EU-Project/benchmark-code

Code associated with "Comprehensive evaluation of collaborative filtering in drug repurposing"

Language: Python - Size: 138 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

sisinflab/Edge-Graph-Collaborative-Filtering

Accepted as full paper at DL4SR@CIKM2022

Language: Python - Size: 2.88 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

songwo-153/Fresh-flower-shop-recommendation-system-based-on-collaborative-filtering-algorithm

基于协同过滤算法的鲜花店推荐系统的设计与实现（使用Springboot框架+Mysql数据库+Vue框架+协同过滤算法）,系统分为用户端和管理员端.

Size: 14.6 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

yash1th-yerra/Hybrid-Model-Movie-Recommendation-System

This is an extension project to Movie-Recommendation-System https://github.com/yash1th-yerra/Movie-Recommendation-System.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

sarthakforwet/Foodie_Partners

An application which helps people find their foodie partner!

Language: HTML - Size: 14.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

chihming/competitive-recsys

A collection of resources for Recommender Systems (RecSys)

Size: 77.1 KB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 534 - Forks: 115

natanaelalmeida/matrix-factorization

Understand how Matrix Factorization and SGD are used in personalized recommendation systems.

Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: 18 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

recombee/recsys24-live-paper-recommender

Scientific Paper Recommendations And Search, Powered by Recombee

Language: TypeScript - Size: 306 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

tohtsky/myFM

A Python/C++ implementation of Bayesian Factorization Machines

Language: C++ - Size: 1.42 MB - Last synced at: 13 days ago - Pushed at: 10 months ago - Stars: 55 - Forks: 14

Niteshchawla/Movie-Recommender-System

To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

materight/therapy-recommender-system

An hybrid recommender systems for suggesting medical therapies, based on matrix factorization and collaborative filtering.

Language: Python - Size: 13 MB - Last synced at: 4 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

goamegah/Cornac-Recommender-System-Animes

Recommendation system

Language: Jupyter Notebook - Size: 4.09 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

04bhavyaa/book-recommendation-system

The Book Recommendation System provides personalized book suggestions using Popularity-Based Recommender, Collaborative Filtering, and Cosine Similarity. Implemented with Flask, it allows users to enter a book title and receive tailored recommendations based on their preferences.

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 4 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

evfro/polara

Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.

Language: Python - Size: 2.02 MB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 251 - Forks: 22

vsancnaj/Hybrid-Recommendation-System

A hybrid recommendation system combining Item-Based Collaborative Filtering and Content-Based Filtering to suggest skincare products based on user preferences, product ingredients, and ratings. Features a Flask API and an interactive Streamlit Web App for personalized recommendations.

Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0