Personal Information
Organización/Lugar de trabajo
Korea Korea, South
Ocupación
software engineer at kakao
Sitio web
brunch.co.kr/@goodvc78
Acerca de
My identity is RecSys knowledge, Sense for data analysis, Fastest learning curve, Enjoy my jobs
The fully experience of Recsys in live service.
Etiquetas
추천시스템
데이터분석
recommender system
#music recsys
추천시스템목표
개인화경험
mab
t-sne
feature visualization
r
#feature visualization
데이터야놀자
탐색적데이터분석
data analytics
eda
컨벤션
네이밍
quantify-self
파이썬분석
자아정량화
recsys
word2vec
recommendersystem similarity
personal analytics
추천아 놀자
k-means
kmeans
cosine similarity
추천
Ver más
- Presentaciones
- Documentos
- Infografías
Engagement, Metrics & Personalisation at Scale
Mounia Lalmas-Roelleke
•
Hace 3 años
LinkedIn talk at Netflix ML Platform meetup Sep 2019
Faisal Siddiqi
•
Hace 4 años
Digital 2020 Global Digital Overview (January 2020) v01
DataReportal
•
Hace 4 años
아이템 추천의 다양성을 높이기 위한 후처리 방법(논문 리뷰)
hyunsung lee
•
Hace 6 años
Data council SF 2020 Building a Personalized Messaging System at Netflix
Grace T. Huang
•
Hace 3 años
데이터를 얻으려는 노오오력
Youngjae Kim
•
Hace 6 años
Recent Trends in Personalization at Netflix
Justin Basilico
•
Hace 3 años
Lessons learned from building practical deep learning systems
Xavier Amatriain
•
Hace 4 años
SXSW2017 @NewDutchMedia Talk: Exploration is the New Search
Lora Aroyo
•
Hace 7 años
Tutorial on Online User Engagement: Metrics and Optimization
Mounia Lalmas-Roelleke
•
Hace 4 años
RecSys 2020 A Human Perspective on Algorithmic Similarity Schendel 9-2020
Zachary Schendel
•
Hace 3 años
Beyond DAUs and MAUs, 3 Key Levers to Understanding User Engagement For Your Mobile Apps
CleverTap
•
Hace 4 años
Facebook prophet
Minho Lee
•
Hace 6 años
Is Growth Important? Yes. But Retention Is King
TheFamily
•
Hace 9 años
The Holy Grail of Traction - Brian Balfour, HubSpot
Traction Conf
•
Hace 8 años
Measuring user engagement: the do, the do not do, and the we do not know
Mounia Lalmas-Roelleke
•
Hace 9 años
Personalizing the listening experience
Mounia Lalmas-Roelleke
•
Hace 5 años
A/B 테스트를 적용하기 어려울 때, 이벤트 효과 추정하기 (2020-01-18 잔디콘)
Minho Lee
•
Hace 4 años
Engagement, metrics and "recommenders"
Mounia Lalmas-Roelleke
•
Hace 4 años
Calibrated Recommendations
Harald Steck
•
Hace 5 años