Recommendation system implementation
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Updated
Jun 9, 2020 - Python
Recommendation system implementation
[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천 시스템
✏Study Recommender System
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
Multimodal deep learning package that uses both categorical and text-based features in a single deep architecture for regression and binary classification use cases.
[제 10회 투빅스 컨퍼런스] Tripbigs - 호텔부터 맛집까지, 여행객을 위한 추천시스템
ctr and rank model used by keras
Deep Factorization Machine Model for CRT prediction.
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
repo for practicing DL/genAI
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