Topic: lightfm Goto Github
Some thing interesting about lightfm
Some thing interesting about lightfm
lightfm,Implicit Collaborative Filtering based Recommendation Engine Implementation using LightFM along with REST API using django-restframework
User: adnanshah
Home Page: https://resume-adnan-shah.herokuapp.com/
lightfm,Hybrid recommendation system using LightFM library and different loss functions on retail data.
User: ajnavneet
lightfm,A recommendation system that recommends artists to users.
User: arunavsk
lightfm,Task: predict whether users will like a social network post? LightFM + CatBoost
User: boldirev-as
lightfm,Create a machine learning model to match startup founders with potential cofounders
User: cgsellers
lightfm,A collaborative-filter-based music recommender machine
User: chowfi
lightfm,Challenge recomendador - Campus Party Argentina 2021
User: crossnox
Home Page: https://crossnox.github.io/flow-challenge/index.slides.html#/
lightfm,hybrid recommender system using lightfm
User: dsprabowo
lightfm,Sistema de Recomendacion de la plataforma Steam desarrollado
User: edcalderin
lightfm,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.
User: evylegzhanin
lightfm,17 место на Recco challenge
User: gazon1
Home Page: https://boosters.pro/championship/rekko_challenge/overview
lightfm,with Kaggle datasets
User: ghazaleze
lightfm,Various systems that train on data and generate a prediction
User: icejan
lightfm,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
User: johnnypetr93
Home Page: https://www.kaggle.com/datasets/arashnic/book-recommendation-dataset/data
lightfm,Implicit Event Based Recommendation Engine for Ecommerce
User: khadkarajesh
Home Page: https://share.streamlit.io/khadkarajesh/recommender-system
lightfm,#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/
User: kiranchhatre
lightfm,A hybrid recommender system for suggesting CDN (content delivery network) providers to various websites
User: lucashu1
lightfm,Learn Data Science with Python
User: madeyoga
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
User: maitray16
lightfm,⭕️ Building Recommendation Engines
User: maxhumber
lightfm,A repository to practice with recommendation engines.
User: mdepasquale21
lightfm,python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training
User: med-elomari
lightfm,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.
User: melipass
lightfm,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.
User: merrillm1
lightfm,It is a Context-Aware Implicit Feedback based Hotel Recommender System for Anonymous Business Travellers. This project is part of my master thesis project.
User: moloodbahar
lightfm,Pre-train Embedding in LightFM Recommender System Framework
User: rahmanidashti
lightfm,Recommendation Movie Using movielens Dataset and LightFM for Recommendation
User: rizama
lightfm,Common Machine Learning Examples :computer:
User: ryandsilva
lightfm,Different recommendation systems for books
User: shubhankarm01
lightfm,WordPress Posts Recommend System based on Collaborative Filtering.
User: shudal
lightfm,Submission for the Recommender challenge from Siraj Raval on You Tube
User: silver919
lightfm,Рекомендательная система для онлайн-гипермаркета Instacart (Проект в skillbox)
User: sofiakhutsieva
lightfm,Implementation of recommendation system
User: tetaniarizki
lightfm,store my personal project
User: tomlin
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