Amazon Personalize 개인화 및 추천에 대하여 Amazon Personalize 소개 Amazon Personalize 사용 방법 데모 - 캡쳐 화면 결론 Amazon Forecast 예측 기술에 대하여 Amazon Forecast 소개 Amazon Forecast 사용 방법 데모 - 캡쳐 화면 결론

1. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon.com 의 개인화 추천 / 예측 기능을
우리도 써 봅시다.
심호진
11번가 주식회사
steven.hj.shim@gmail.com

2. Agenda
Amazon Personalize
개인화 및 추천에 대하여
Amazon Personalize 소개
Amazon Personalize 사용 방법
데모 - 캡쳐 화면
결론
Amazon Forecast
예측 기술에 대하여
Amazon Forecast 소개
Amazon Forecast 사용 방법
데모 - 캡쳐 화면
결론

3. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Personalize

6. 개인화 및 추천이 PV, 긍정적인 고객 경험, 매출 등에 영향을 줌

7. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
기존 환경의 개인화 추천이 어려운 점…
•ML
•
• computing resource
• storage

8. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Personalize 소개
Amazon.com Machine Learning
API
• Deep Learning
•AutoML / HPO
• Activity / Click Event /

9. 다양한 분야에 적용 가능
Video / Audio
on demand / streaming
Retail /
e-commerce News / Media Travel

10. Amazon Personalize 적용 과정
Data
S3 / API
or
AutoML
Workload Event
/

11. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Personalize Recipe
•Recipe ?
• Machine Learning
•Recipe
•DeepFM, HRNN, SIMS, etc
•AutoML & HPO
• Recipe Hyperparameter
•BYOR (Bring Your Own Recipe)

12. Amazon Personalize 실시간 추천 구조
Amazon
Personalize
실시간 Event Data 전송
Browser
추천 요청
Inference
질의
추천 결과추천 결과
Server

13. Amazon Personalize 데모 - 캡쳐 화면

14. User-Item Interaction Data

15. Dataset Group

16. Data scheme
Data
, ,

17. S3 Object

18. Solution

19. Recipe
TPS

20. Solution

21. * AutoML Recipe

22. solution campaign

23. sdk cli
campaign

24. User ID
Recommended Items

25. awscli 를 이용해 추천 요청

26. 추천 결과를 프로덕션에 반영
46171067
90482731
85720120
38760991
45203114
29184523

27. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Personalize 결론
• AWS
• -
• -
• /
•

28. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Forecast

29. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Forecast - Data ,
Domain

30. 예측 기술의 어려운 점
•
•
•
•

31. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Forecast 소개
Amazon.com Machine Learning
Time-series
• 20 ML forecast
•
•Amazon.com MQ-RNN ,
ARIAM, ETS, Prophet

32. Amazon Forecast 적용 과정
Data
S3 / API
or
AutoML Forecast

33. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Forecast - Data 준비하기
Forecast Predictor Training 3 type dataset
) ,
) ,
Target time-series Related time-series Item metadata

34. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Forecast - Recipe 선택하기 (1/2)
• Recipe , AutoML
Amazon Forecast Recipe
• forecasting
Choose Recipe

35. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Forecast - Recipe 선택하기 (2/2)
•ARIMA
•SQF
•DeepAR+
•ETS
•MDN
•MQ-RNN
•NPTS
•Prophet
AutoML

36. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Forecast - Forecasting 결과 보기

37. Amazon Forecast 데모 - 캡쳐 화면

38. 샘플 데이터 준비
•가구별 시간당 전기 사용량 데이터
•https://docs.aws.amazon.com/
forecast/latest/dg/getting-
started.html

39. Domain

40. Import Data
( , , )

41. Import Data
Data Schema

42. Recipe

43. Predictor

46. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Forecast 결론
• AWS
• -
• -
•
•

47. © 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
마무리

48. 개인 소요 시간
2 hours
Data & Training
2 hours 2~10 hours+
• 510 (1.7GB)
• Python (json -> csv)
• Machine Learning

49. Preview 안내
https://aws.amazon.com/ko/personalize/
https://aws.amazon.com/ko/forecast/
Preview

50. Thank you!
© 2018, Amazon Web Services, Inc. or its affiliates. All rights reserved.
심호진 / steven.hj.shim@gmail.com
AWSKRUG Slack @steven