lightfm

There are 0 repository under lightfm topic.

maxhumber / BRE
⭕️ Building Recommendation Engines
lightfm machine-learning oreilly python scikit-learn
Language:Jupyter Notebook 59
TomLin / Playground
store my personal project
classification-model feature-engineering gensim keras-tensorflow lightfm nlp pytorch recommender-system scikit-learn spacy svd visualization word-embeddings
Language:Jupyter Notebook 22
LightFM-Dataset-Helper
Med-ELOMARI / LightFM-Dataset-Helper
python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
lightfm dataset
Language:Python 20
rahmanidashti / pretrain-lightfm
Pre-train Embedding in LightFM Recommender System Framework
recommender-system embeddings lightfm pre-trained
Language:Python 10
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
scipy python lightfm recommender-system
Language:Python 9
lucashu1 / CDN-RecSys
A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
recommender-system cdn lightfm implicit-feedback recommendation-system collaborative-filtering hybrid-recommender-system
Language:Jupyter Notebook 8
GhazaleZe / RecommenderSystem_lightFM
with Kaggle datasets
python lightfm pandas recommender-system dataset
Language:Python 6
madeyoga / Learn-Data-Science
Learn Data Science with Python
lightfm scikit-learn recommendation-system stock-prices prediction
Language:Jupyter Notebook 4
Olist_Recommender_System
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.
recommender-system lightfm spark-mllib clustering-methods hybrid-recommender-system collaborative-filtering
Language:Jupyter Notebook 4
arunavsk / Artist-Recommedation-System
A recommendation system that recommends artists to users.
python machine-learning recommender-system lightfm
Language:Python 3
khadkarajesh / recommender-system
Implicit Event Based Recommendation Engine for Ecommerce
flask lightfm python streamlit postgresql heroku flask-restful implicit surprise sklearn recommender-system ecommerce
Language:Python 3
shudal / WpPostsRecommendSystem1
WordPress Posts Recommend System based on Collaborative Filtering.
recommender-system recommendation-system wordpress wordpress-plugin lightfm python collaborative-filtering
Language:Python 2
AjNavneet / Hybrid_Recommender_LightFM_RetailData
Hybrid recommendation system using LightFM library and different loss functions on retail data.
hybrid-recommender-system lightfm retail-ecomm
Language:Jupyter Notebook 1
CrossNox / flow-challenge
Challenge recomendador - Campus Party Argentina 2021
campusparty lightfm recsys
Language:Python 1
dabasmoti / Margret
LightFm recommendation with pandas dataframe
lightfm pandas
Language:Python 1
edcalderin / Steam_SystemRecommender
Sistema de Recomendacion de la plataforma Steam desarrollado
colaborative-filtering content-based-recommendation exploratory-data-analysis implicit lightfm notebook npl plotly python recommender-system reviews steam tf-idf time-series videogames
Language:Jupyter Notebook 1
RyanDsilva / machine-learning-starters
Common Machine Learning Examples :computer:
decision-trees deep-learning genetic-algorithm keras lightfm machine-learning naive-bayes nlp object-detection opencv pandas python random-forest scikit-learn scikit-surprise svm svr tensorflow textblob tpot
Language:Python 1
Varfalamei / RecoServiceMTS
Movie recommendation system
implicit lightfm recommender-system rectools collaborative-filtering knn
Language:Jupyter Notebook 1
boldirev-as / Hybrid_RecSys_VK_hack
Task: predict whether users will like a social network post? LightFM + CatBoost
catboost lightfm recommendation-system
Language:Jupyter Notebook 0
dsprabowo / lightfm
hybrid recommender system using lightfm
factorization-machine lightfm recommender-system
Language:Jupyter Notebook 0
evylegzhanin / Recommender_system_VK_CoreML
Comparison of two approaches for building a recommender system presented. The first one is a collaborative filtering. The second one is hybrid recommender system. This project is the second stage of a contest for an internship in VK.
recommender-system collaborative-filtering hybrid-recommender-system lightfm svd-matrix-factorisation
Language:Jupyter Notebook 0
gazon1 / Recco-challenge
17 место на Recco challenge
ml competition data-science keras lightfm recommender-system
Language:Jupyter Notebook 0
icejan / Predicton-Systems
Various systems that train on data and generate a prediction
lightfm machine-learning numpy python scikit-learn
Language:Python 0
mdepasquale21 / recommender-practice
A repository to practice with recommendation engines.
recommender-system recommender-systems recommendation-system recommendation-engine recommendation-algorithms recommendation-algorithm recommendation-engines python python-library python3 python-3 lightfm-library lightfm
Language:Python 0
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.
plsql oracle-autonomous-database recommender-system netflix-prize movie-recommendation-system pandas scipy lightfm
Language:Jupyter Notebook 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.
recommender-system machine-learning matrix-factorization lightfm
Language:Python 0
msavilov / Recommender_Systems_ML
Рекомендательные системы
python ml numpy pandas surprise sklearn lightfm
Language:Jupyter Notebook 0
shubhankarm01 / Book-recommendation
Different recommendation systems for books
collaborative-filtering lightfm recommendation-system
Language:Jupyter Notebook 0
SofiaKhutsieva / ML_recommendation_system
Рекомендательная система для онлайн-гипермаркета Instacart (Проект в skillbox)
als implicit lightfm recommendation-system
Language:Jupyter Notebook 0
tetaniarizki / Spotify-Playlist
Implementation of recommendation system
data-science hybrid-filtering lightfm lightfm-library recommendation-system spotify spotify-playlist
Language:Jupyter Notebook 0
cgsellers / lightfm_rs
Create a machine learning model to match startup founders with potential cofounders
lightfm machine-learning recommendation-system
Language:Jupyter Notebook
chowfi / Music-Recommender-System
A collaborative-filter-based music recommender machine
alternating-least-squares cold-start-problem data-preprocessing high-performance-computing latent-factor-model lightfm recommender-system spark baseline-popularity-model training-validation-split
Language:Python
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
lightfm python recommendation-system
Language:Jupyter Notebook
pacifikus / recsys_service
recsys course notebooks
dssm hybrid-recsys implicit lightfm nmslib recbole recsys userknn
Language:Jupyter Notebook
rizama / Recomendation-Movie
Recommendation Movie Using movielens Dataset and LightFM for Recommendation
python lightfm numpy jupyter-notebook recommendation movies
Language:Jupyter Notebook
silver919 / Recommender-sytem-in-python
Submission for the Recommender challenge from Siraj Raval on You Tube
lightfm python recommendation-system
Language:Python

lightfm

maxhumber / BRE

TomLin / Playground

Med-ELOMARI / LightFM-Dataset-Helper

rahmanidashti / pretrain-lightfm

maitray16 / Movie-Recommendation-using-LightFM

lucashu1 / CDN-RecSys

GhazaleZe / RecommenderSystem_lightFM

madeyoga / Learn-Data-Science

merrillm1 / Olist_Recommender_System

arunavsk / Artist-Recommedation-System

khadkarajesh / recommender-system

shudal / WpPostsRecommendSystem1

AjNavneet / Hybrid_Recommender_LightFM_RetailData

CrossNox / flow-challenge

dabasmoti / Margret

edcalderin / Steam_SystemRecommender

RyanDsilva / machine-learning-starters

Varfalamei / RecoServiceMTS

boldirev-as / Hybrid_RecSys_VK_hack

dsprabowo / lightfm

evylegzhanin / Recommender_system_VK_CoreML

gazon1 / Recco-challenge

icejan / Predicton-Systems

mdepasquale21 / recommender-practice

melipass / umayor-business-intelligence

moloodbahar / Hotel-Recommendation-System

msavilov / Recommender_Systems_ML

shubhankarm01 / Book-recommendation

SofiaKhutsieva / ML_recommendation_system

tetaniarizki / Spotify-Playlist

cgsellers / lightfm_rs

chowfi / Music-Recommender-System

johnnypetr93 / RecommendationModel

pacifikus / recsys_service

rizama / Recomendation-Movie

silver919 / Recommender-sytem-in-python