GitHub topics: collaborative-filtering

RUCAIBox/RecBole

A unified, comprehensive and efficient recommendation library

Language: Python - Size: 18.9 MB - Last synced at: about 8 hours ago - Pushed at: about 2 months ago - Stars: 3,714 - Forks: 659

PreferredAI/cornac

A Comparative Framework for Multimodal Recommender Systems

Language: Python - Size: 24.3 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 949 - Forks: 152

zavarujs/EAFC-2025-Hybrid-Recommendation-System-

Language: Jupyter Notebook - Size: 2.02 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

ZahirAhmadChaudhry/Recommendation_Systems_Kaggle

This repository documents our comprehensive approach to building an effective recommendation system for predicting customer repurchases on Carrefour's eCommerce platform. Starting with simple statistical methods and progressing to advanced neural network architectures, we've explored multiple approaches to tackle this recommendation challenge.

Language: Python - Size: 18 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

sreeraj-sudhakaran/Movie-Recommendation-Engine

A movie recommender system using item-based collaborative filtering with cosine similarity on the MovieLens 100k dataset. Includes visualizations, genre filtering via IMDb API, and movie summaries via Wikipedia API.

Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

sdl60660/letterboxd_recommendations

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Language: Python - Size: 6.55 GB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 305 - Forks: 25

benfred/implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Language: Python - Size: 7.51 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 3,656 - Forks: 620

RedDotz20/news-content-recommender-system

📰 ArticleHorizon is a smart news article recommender webapp that helps users discover relevant and engaging content tailored to their interests.

Language: TypeScript - Size: 1.56 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

alunera-data/movielens-capstone

HarvardX Capstone: Collaborative filtering movie recommender system using R and Matrix Factorization

Language: HTML - Size: 643 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

gorse-io/gorse

Gorse open source recommender system engine

Language: Go - Size: 11.8 MB - Last synced at: 6 days ago - Pushed at: 13 days ago - Stars: 8,880 - Forks: 812

Sverlaan/collab2watch

A web tool that recommends movies for multiple parties by combining Letterboxd user profiles and applying collaborative filtering.

Language: JavaScript - Size: 13.2 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Subrat1920/Book-Recommendation-System

The Book Recommendation System is designed to provide personalized book suggestions to users based on their preferences and past interactions. Using popular-based filtering and collaborative filtering, the system helps users discover books they may enjoy. The project follows a modular coding approach, making it scalable and maintainable.

Language: Jupyter Notebook - Size: 55.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

fuhailin/Memory-based-collaborative-filtering

高效的协同过滤算法实现——推荐系统

Language: Python - Size: 1.35 MB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 23

dselivanov/rsparse

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

Language: R - Size: 1.09 MB - Last synced at: 6 days ago - Pushed at: 2 months ago - Stars: 175 - Forks: 31

robi56/Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Size: 30.3 KB - Last synced at: 9 days ago - Pushed at: about 5 years ago - Stars: 2,831 - Forks: 705

lakshya076/Cinematch

Movie Recommender (School Project)

Language: Python - Size: 3.61 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 3 - Forks: 0

zenogantner/MyMediaLite

recommender system library for the CLR (.NET)

Language: C# - Size: 29.2 MB - Last synced at: 7 days ago - Pushed at: almost 5 years ago - Stars: 506 - Forks: 190

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: 10 days ago - Pushed at: 10 days 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: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

albertruaz/Recommendation-System

Language: Python - Size: 227 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

guoguibing/librec

LibRec: A Leading Java Library for Recommender Systems, see

Language: Java - Size: 83.6 MB - Last synced at: 11 days ago - Pushed at: almost 2 years ago - Stars: 3,246 - Forks: 1,029

HaSai666/rec_pangu

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

Language: Python - Size: 23.8 MB - Last synced at: about 7 hours ago - Pushed at: over 1 year ago - Stars: 138 - Forks: 20

shenweichen/DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Language: Python - Size: 1.34 MB - Last synced at: 12 days ago - Pushed at: 11 months ago - Stars: 2,320 - Forks: 539

glami/sansa

SANSA - sparse EASE for millions of items

Language: Python - Size: 1.71 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 42 - Forks: 5

eylulozatman/bookRecSystemSurprise

collaborative filtering project was developed using surprise library. It provides user based and item based search. It calculates similarity score and offers suggestions.

Language: Python - Size: 4.03 MB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

hexiangnan/neural_collaborative_filtering

Neural Collaborative Filtering

Language: Python - Size: 23.2 MB - Last synced at: 15 days ago - Pushed at: over 2 years ago - Stars: 1,833 - Forks: 658

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: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

cheungdaven/DeepRec

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

Language: Python - Size: 14.6 MB - Last synced at: 14 days ago - Pushed at: almost 3 years ago - Stars: 1,149 - Forks: 293

avrtt/price-profiler

E-commerce pricing optimization & dynamic user profiling

Language: Python - Size: 15.6 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 2 - Forks: 0

khanhnamle1994/movielens

4 different recommendation engines for the MovieLens dataset.

Language: Jupyter Notebook - Size: 41.9 MB - Last synced at: 17 days ago - Pushed at: almost 6 years ago - Stars: 433 - Forks: 185

xiangwang1223/disentangled_graph_collaborative_filtering

Disentagnled Graph Collaborative Filtering, SIGIR2020

Language: Python - Size: 18.1 MB - Last synced at: 8 days ago - Pushed at: almost 5 years ago - Stars: 139 - Forks: 29

wubinzzu/NeuRec

Next RecSys Library

Language: Python - Size: 17.6 MB - Last synced at: 15 days ago - Pushed at: about 2 years ago - Stars: 1,055 - Forks: 220

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

Bollywood Movie Recomendation System .

Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 3 - 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: 20 days ago - Pushed at: 20 days 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: about 3 hours ago - Pushed at: about 2 years ago - Stars: 99 - Forks: 56

mhahsler/recommenderlab

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

Language: R - Size: 84.1 MB - Last synced at: 11 days ago - Pushed at: 28 days ago - Stars: 215 - Forks: 61

xiangwang1223/neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

Language: Python - Size: 11.5 MB - Last synced at: 19 days ago - Pushed at: almost 5 years ago - Stars: 823 - Forks: 271

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: 19 days ago - Pushed at: 10 months ago - Stars: 17 - Forks: 2

ZiyaoGeng/SimpleCF

A simple start for collaborative filtering.

Language: Python - Size: 7.32 MB - Last synced at: 12 days ago - Pushed at: about 4 years ago - Stars: 20 - Forks: 2

USTCLLM/RecStudio

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Language: Python - Size: 2.66 MB - Last synced at: 11 days ago - Pushed at: 2 months ago - Stars: 184 - Forks: 23

ryanashcraft/CollaborativeFiltering

In-memory recommendation algorithm for Swift apps

Language: Swift - Size: 8.79 KB - Last synced at: 6 days ago - Pushed at: about 2 years ago - Stars: 46 - Forks: 0

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: 1 day ago - Pushed at: almost 7 years ago - Stars: 105 - Forks: 36

ABIRAM1222/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: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

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: 25 days ago - Pushed at: 25 days 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: 8 days ago - Pushed at: almost 5 years ago - Stars: 16 - Forks: 16

sb-ai-lab/RePlay

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

Language: Python - Size: 35.2 MB - Last synced at: 9 days ago - Pushed at: 23 days ago - Stars: 331 - Forks: 33

threnjen/boardgamegeek

BoardGameGeek Recommender System is a start-to-finish project, from sourcing the data to a hybrid recommender system utilizing both content-based and collaborative filtering.

Language: Jupyter Notebook - Size: 186 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

lsjsj92/recommender_system_with_Python

recommender system tutorial with Python

Language: Jupyter Notebook - Size: 606 KB - Last synced at: 15 days ago - Pushed at: 11 months ago - Stars: 199 - Forks: 98

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: 18 days ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 2

rixwew/pytorch-fm

Factorization Machine models in PyTorch

Language: Python - Size: 5.57 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 1,057 - Forks: 227

sidyr6002/Zee-Recommender-System

A movie recommendation system

Language: Jupyter Notebook - Size: 8.01 MB - Last synced at: 18 days ago - Pushed at: about 2 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: 19 days ago - Pushed at: almost 2 years ago - Stars: 182 - Forks: 17

songwo-153/CollaborativeFilteringNewsRecommendSystem

基于协同过滤算法的个性化新闻推荐系统的设计与实现（采用Java语言的SpringBoot和SSM两种框架分别实现基于用户、物品的协同过滤推荐算法）

Size: 7.17 MB - Last synced at: 19 days ago - Pushed at: 2 months ago - Stars: 28 - Forks: 6

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: 29 days ago - Pushed at: 29 days 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: 29 days ago - Pushed at: 29 days 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: 29 days ago - Pushed at: 29 days 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: 10 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

NVIDIA/DeepRecommender 📦

Deep learning for recommender systems

Language: Python - Size: 1.33 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 1,692 - Forks: 339

khanhnamle1994/MetaRec

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

Language: Python - Size: 626 MB - Last synced at: 16 days 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: 25 days ago - Pushed at: about 1 month 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: 26 days ago - Pushed at: 3 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: about 1 month ago - Pushed at: about 1 month 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: 27 days 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: 16 days ago - Pushed at: about 1 month ago - Stars: 0 - 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: 19 days ago - Pushed at: about 7 years ago - Stars: 76 - Forks: 53

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: about 1 month ago - Pushed at: about 1 month 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: 20 days ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month 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: 28 days ago - Pushed at: over 7 years ago - Stars: 378 - Forks: 107

mythrantic/recommendation-engine

recommendation-engine i use on some of my project gathered together

Language: Jupyter Notebook - Size: 70.4 MB - Last synced at: 11 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

mayukh18/reco

a simple yet versatile recommendation systems library in python

Language: Python - Size: 8.44 MB - Last synced at: 21 days ago - Pushed at: almost 2 years ago - Stars: 54 - Forks: 20

rajaprerak/movie_recommender

Movie Recommender System with Django.

Language: Python - Size: 1.27 MB - Last synced at: 10 days ago - Pushed at: 9 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: about 1 month ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month 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: 12 days ago - Pushed at: about 1 month 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: about 1 month ago - Pushed at: about 1 month 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: about 2 months ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - Forks: 2

songwo-153/Springboot-Smart-Teaching-Recommendation-system

基于Springboot的智慧教学平台的系统设计与实现（智慧教学推荐系统），可以进行学习分析和个性化推荐，系统可以根据学生的学习行为和表现进行分析，生成学习分析报告。根据学生的学习情况和需求，系统可以提供个性化的学习推荐和建议，推荐适合的课程和教学资源推荐（根据用户点击量或浏览量推荐）。

Size: 9.13 MB - Last synced at: 15 days ago - Pushed at: 5 months ago - Stars: 12 - Forks: 0

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: 15 days ago - Pushed at: 5 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: 16 days ago - Pushed at: 2 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

mengfeizhang820/Paperlist-for-Recommender-Systems

Recommender Systems Paperlist that I am interested in

Size: 157 KB - Last synced at: 1 day ago - Pushed at: over 3 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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: 14 days ago - Pushed at: 5 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: about 2 months ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 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: about 1 hour ago - Pushed at: about 2 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: 19 days 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Wiederholung/CollabXplorer

Mining and Recommendation of Interdisciplinary Academic Collaboration

Language: Jupyter Notebook - Size: 130 MB - Last synced at: about 2 months ago - Pushed at: about 2 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: 10 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 2