Personal Information
Organização/Local de trabalho
Korea Korea, South
Cargo
software engineer at kakao
Sobre
My identity is RecSys knowledge, Sense for data analysis, Fastest learning curve, Enjoy my jobs
The fully experience of Recsys in live service.
Marcadores
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
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Apresentações
(15)Gostaram
(138)Engagement, Metrics & Personalisation at Scale
Mounia Lalmas-Roelleke
•
Há 3 anos
LinkedIn talk at Netflix ML Platform meetup Sep 2019
Faisal Siddiqi
•
Há 4 anos
Digital 2020 Global Digital Overview (January 2020) v01
DataReportal
•
Há 4 anos
아이템 추천의 다양성을 높이기 위한 후처리 방법(논문 리뷰)
hyunsung lee
•
Há 6 anos
Data council SF 2020 Building a Personalized Messaging System at Netflix
Grace T. Huang
•
Há 3 anos
데이터를 얻으려는 노오오력
Youngjae Kim
•
Há 6 anos
Recent Trends in Personalization at Netflix
Justin Basilico
•
Há 3 anos
Lessons learned from building practical deep learning systems
Xavier Amatriain
•
Há 4 anos
SXSW2017 @NewDutchMedia Talk: Exploration is the New Search
Lora Aroyo
•
Há 7 anos
Tutorial on Online User Engagement: Metrics and Optimization
Mounia Lalmas-Roelleke
•
Há 4 anos
RecSys 2020 A Human Perspective on Algorithmic Similarity Schendel 9-2020
Zachary Schendel
•
Há 3 anos
Beyond DAUs and MAUs, 3 Key Levers to Understanding User Engagement For Your Mobile Apps
CleverTap
•
Há 4 anos
Facebook prophet
Minho Lee
•
Há 6 anos
Is Growth Important? Yes. But Retention Is King
TheFamily
•
Há 9 anos
The Holy Grail of Traction - Brian Balfour, HubSpot
Traction Conf
•
Há 8 anos
Measuring user engagement: the do, the do not do, and the we do not know
Mounia Lalmas-Roelleke
•
Há 9 anos
Personalizing the listening experience
Mounia Lalmas-Roelleke
•
Há 4 anos
A/B 테스트를 적용하기 어려울 때, 이벤트 효과 추정하기 (2020-01-18 잔디콘)
Minho Lee
•
Há 4 anos
Engagement, metrics and "recommenders"
Mounia Lalmas-Roelleke
•
Há 4 anos
Calibrated Recommendations
Harald Steck
•
Há 5 anos
Search-Based Serving Architecture of Embeddings-Based Recommendations (RecSys 2019)
Sonya Liberman
•
Há 4 anos
Recent Trends in Personalization: A Netflix Perspective
Justin Basilico
•
Há 4 anos
A Multi-Armed Bandit Framework For Recommendations at Netflix
Jaya Kawale
•
Há 5 anos
2019 cvpr paper_overview
LEE HOSEONG
•
Há 5 anos
Word2Vec Network Structure Explained
Subhashis Hazarika
•
Há 5 anos
Visualizing Data Using t-SNE
David Khosid
•
Há 8 anos
Adaptation and Evaluation of Recommendationsfor Short-term Shopping Goals
LukasLerche
•
Há 8 anos
Steffen Rendle, Research Scientist, Google at MLconf SF
MLconf
•
Há 9 anos
딥러닝 기본 원리의 이해
Hee Won Park
•
Há 6 anos
Personal Information
Organização/Local de trabalho
Korea Korea, South
Cargo
software engineer at kakao
Sobre
My identity is RecSys knowledge, Sense for data analysis, Fastest learning curve, Enjoy my jobs
The fully experience of Recsys in live service.
Marcadores
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 mais