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Ch 0. 딥러닝을 활용한 추천시스템 구현
Yeonghyeon
·
2022년 8월 10일
팔로우
0
추천시스템
0
Recommender System
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1/33
Data
수업에 사용될 데이터셋
MovieLens
KMRD
Netflix
Amazon Product Review / Image
Download Link에서 review와 image 데이터 모두 다운로드 할 수 있다. image데이터는 상품별 5-core 데이터를 다운로드한다.
Music dataset
Million Song Dataset과 Last.fm
Paper
수업에 사용될 논문 리스트
Part 2
BPR: Bayesian Personalized Ranking from Implicit Feedback
Part 3
LARS: A Location-Aware Recommender System
Part 4
Neural Collaborative Filtering
Factorization Machines
Wide & Deep Learning for Recommender Systems
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
AutoRec: Autoencoders Meet Collaborative Filtering
Training Deep AutoEncoders for Collaborative Filtering
Joint Training of Ratings and Reviews with Recurrent Recommender Networks
Image-based Recommendations on Styles and Substitutes
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
Deep content-based music recommendation
Session-based Recommendations with Recurrent Neural Networks
Deep Neural Networks for YouTube Recommendations
Deep Learning Based Recommender System: A Survey and New Perspectives
Yeonghyeon
팔로우
다음 포스트
Ch 01-1. 추천시스템이란?
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