⭕️ Building Recommendation Engines

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python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training

Pre-train Embedding in LightFM Recommender System Framework

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

A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites

with Kaggle datasets

Implicit Event Based Recommendation Engine for Ecommerce

Learn Data Science with Python

Hybrid recommendation system using LightFM library and different loss functions on retail data.

A recommendation system that recommends artists to users.

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.

WordPress Posts Recommend System based on Collaborative Filtering.

This project is focused on building a movie recommendation system using the MovieLens dataset. The system leverages several machine learning techniques to provide personalized movie recommendations based on user preferences and past behaviors.

Sistema de Recomendacion de la plataforma Steam desarrollado

hybrid recommender system using lightfm

LightFm recommendation with pandas dataframe

Challenge recomendador - Campus Party Argentina 2021

Movie recommendation system

Common Machine Learning Examples 💻