Ecosyste.ms: Repos
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GitHub topics: lightfm
RyanDsilva/machine-learning-starters
Common Machine Learning Examples :computer:
Language: Python - Size: 7.27 MB - Last synced: about 2 months ago - Pushed: about 5 years ago - Stars: 1 - Forks: 2
SofiaKhutsieva/ML_recommendation_system
Рекомендательная система для онлайн-гипермаркета Instacart (Проект в skillbox)
Language: Jupyter Notebook - Size: 2.36 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0
rizama/Recomendation-Movie
Recommendation Movie Using movielens Dataset and LightFM for Recommendation
Language: Jupyter Notebook - Size: 3.91 KB - Last synced: about 2 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0
johnnypetr93/RecommendationModel
Book Recommendation model based on LightFM library. Unlike models focusing only on Collaborative Filtering method, LightFM allows the model to face the cold-start problem by implementing user's features in case of missing ratings. Dataset: https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset/data
Language: Jupyter Notebook - Size: 27.3 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 0 - Forks: 0
icejan/Predicton-Systems
Systems that generates results based on data
Language: Python - Size: 2.93 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0
AdnanShah/Python-Recommendation-Engine
Implicit Collaborative Filtering based Recommendation Engine Implementation using LightFM along with REST API using django-restframework
Language: Jupyter Notebook - Size: 26.6 MB - Last synced: 6 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0
AjNavneet/Hybrid_Recommender_LightFM_RetailData
Hybrid recommendation system using LightFM library and different loss functions on retail data.
Language: Jupyter Notebook - Size: 16.2 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0
moloodbahar/Hotel-Recommendation-System
It is a Context-Aware Implicit Feedback based Hotel Recommender System for Anonymous Business Travellers. This project is part of my master thesis project.
Language: Python - Size: 73.5 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0
maitray16/Movie-Recommendation-using-LightFM
This example uses the lightfm recommender system library to train a hybrid content-based + collaborative algorithm that uses the WARP loss function on the movielens dataset
Language: Python - Size: 1.95 KB - Last synced: about 1 month ago - Pushed: about 7 years ago - Stars: 9 - Forks: 5
gazon1/Recco-challenge
17 место на Recco challenge
Language: Jupyter Notebook - Size: 101 KB - Last synced: 8 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 0
dabasmoti/Margret
LightFm recommendation with pandas dataframe
Language: Python - Size: 5.86 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0
khadkarajesh/recommender-system
Implicit Event Based Recommendation Engine for Ecommerce
Language: Python - Size: 16.9 MB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 3 - Forks: 1
edcalderin/Steam_SystemRecommender
Sistema de Recomendacion de la plataforma Steam desarrollado
Language: Jupyter Notebook - Size: 9.2 MB - Last synced: about 2 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 1
maxhumber/BRE
⭕️ Building Recommendation Engines
Language: Jupyter Notebook - Size: 142 MB - Last synced: about 1 month ago - Pushed: about 1 year ago - Stars: 59 - Forks: 66
boldirev-as/Hybrid_RecSys_VK_hack
Task: predict whether users will like a social network post? LightFM + CatBoost
Language: Jupyter Notebook - Size: 142 KB - Last synced: 10 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
Varfalamei/RecoServiceMTS Fork of feldlime/RecoServiceTemplate
Movie recommendation system
Language: Jupyter Notebook - Size: 7.36 MB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0
kiranchhatre/lightfm_recommendation_algorithm
#Recommendation System: Collaborative and Content-based; NumPy,SciPy, LightFM, OpenMP, Weighted Approximate-Rank Pairwise, Gradient Descent, Compressed Sparse Row Format; MovieLens: GroupLens Research Site (University of Minnesota) https://movielens.org/
Language: Python - Size: 1000 Bytes - Last synced: 10 months ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0
msavilov/Recommender_Systems_ML
Рекомендательные системы
Language: Jupyter Notebook - Size: 128 KB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0
pacifikus/recsys_service Fork of feldlime/RecoServiceTemplate
recsys course notebooks
Language: Jupyter Notebook - Size: 2.11 MB - Last synced: 7 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 1
dsprabowo/lightfm
hybrid recommender system using lightfm
Language: Jupyter Notebook - Size: 263 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
Med-ELOMARI/LightFM-Dataset-Helper
python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
Language: Python - Size: 24 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 18 - Forks: 4
tetaniarizki/Spotify-Playlist
Implementation of recommendation system
Language: Jupyter Notebook - Size: 399 KB - Last synced: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
TomLin/Playground
store my personal project
Language: Jupyter Notebook - Size: 2.01 MB - Last synced: over 1 year ago - Pushed: about 4 years ago - Stars: 21 - Forks: 34
CrossNox/flow-challenge
Challenge recomendador - Campus Party Argentina 2021
Language: Python - Size: 15.6 MB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 1 - Forks: 1
shudal/WpPostsRecommendSystem1
WordPress Posts Recommend System based on Collaborative Filtering.
Language: Python - Size: 48.4 MB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 2 - Forks: 2
madeyoga/Learn-Data-Science
Learn Data Science with Python
Language: Jupyter Notebook - Size: 10.2 MB - Last synced: over 1 year ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 2
merrillm1/Olist_Recommender_System
Recommendation engine with a .97 AUC achieved using clustering techniques to create user features. Data represents Olist marketplace transactions and was retrieved from kaggle.com.
Language: Jupyter Notebook - Size: 77.4 MB - Last synced: over 1 year ago - Pushed: almost 2 years ago - Stars: 3 - Forks: 6
GhazaleZe/RecommenderSystem_lightFM
with Kaggle datasets
Language: Python - Size: 5.44 MB - Last synced: over 1 year ago - Pushed: almost 4 years ago - Stars: 6 - Forks: 1
melipass/umayor-business-intelligence
This repository contains code I wrote in the Business Intelligence course at Universidad Mayor. The folders tarea-1x contain a small data modelling and data visualization exercise leveraging Oracle Cloud databases, while tarea-2 contains a movie recommender system based around the Netflix Prize dataset.
Language: Jupyter Notebook - Size: 76.8 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0
rahmanidashti/pretrain-lightfm
Pre-train Embedding in LightFM Recommender System Framework
Language: Python - Size: 25.4 KB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 9 - Forks: 2
lucashu1/CDN-RecSys
A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
Language: Jupyter Notebook - Size: 5.14 MB - Last synced: about 1 year ago - Pushed: almost 6 years ago - Stars: 8 - Forks: 3
arunavsk/Artist-Recommedation-System
A recommendation system that recommends artists to users.
Language: Python - Size: 3.18 MB - Last synced: over 1 year ago - Pushed: almost 7 years ago - Stars: 3 - Forks: 0
