Recommendation system implementation
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Updated
Jun 9, 2020 - Python
Recommendation system implementation
✏Study Recommender System
[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천시스템
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.
An implementation of a recommender system pipeline using PyTorch
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 deep factorization machine (deepFM) implemented via Tensorflow.
AI 小项目代码、笔记
This repository is based on the lecture '고객데이터와 딥러닝을 활용한 추천시스템 구현'
A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area
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