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기업 프로젝트
- purpose: to improve
CTR (Click Through Rate)
- the result of this project: algorithm for recommending ads with high CTR
- data: 번개장터 데이터 (광고, 광고주 데이터, 상품 노출 및 클릭 여부 데이터)
프로젝트 진행 시 활용할 자료들(References)
- Kaggle & Github: machine learning technique codes
- blogs
- journals: about concepts and theories of various machine learning techniques
models
- Deep FM (a part of NN)
- Ensemble, Clustering, Naive Bayes to classify the group of customers to provide the recommendation service
- LDA and CNN to analyze the text and image data