Recommendation system implementation

PyTorch implementation of deepFM

✏Study Recommender System

My recent projects

[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천시스템

deepfm

Deep Factorization Machine Model for CRT prediction.

repo for practicing DL/genAI

[Bugfix] A PyTorch implementation of DeepFM for CTR prediction problem.

Reusable deep learning models for recommendation systems

pytorch implementation of ctr models, including fm, deepfm, etc.

AI 小项目代码、笔记

A data analysis project to classify whether an applicant is capable of paying a home loan by using 4 machine learning models (Logistic Regression, SVM, Random Forest and LGBM) and 1 deep learning model (DeepFM). We also drew some insights from the best model that can be useful for analysts in bank.

ICME 2019 Grand Challenge——短视频内容理解与推荐竞赛

[제 12회 투빅스 컨퍼런스] 겜플리 - 이미지・텍스트 기반 나만의 추천 게임플레이리스트

A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

A deep factorization machine (deepFM) implemented via Tensorflow.

This repository is based on the lecture '고객데이터와 딥러닝을 활용한 추천시스템 구현'

Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.