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

with Kaggle datasets

Implicit Event Based Recommendation Engine for Ecommerce

A recommendation system that recommends artists to users.

WordPress Posts Recommend System based on Collaborative Filtering.

LightFm recommendation with pandas dataframe

Challenge recomendador - Campus Party Argentina 2021

Common Machine Learning Examples 💻

It is a Context-Aware Implicit Feedback based Hotel Recommender System for Anonymous Business Travellers. This project is part of my master thesis project.

Various systems that train on data and generate a prediction

#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/

Submission for the Recommender challenge from Siraj Raval on You Tube

A repository to practice with recommendation engines.

A collaborative-filter-based music recommender machine