choi kyumin

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15 SlideShares 330 Followers 119 Followings

15 SlideShares 330 Followers 119 Followings

recommender system 추천시스템 데이터분석 #music recsys 추천 cosine similarity kmeans k-means 추천아 놀자 personal analytics recommendersystem similarity word2vec recsys 자아정량화 파이썬분석 quantify-self 네이밍 컨벤션 eda data analytics 탐색적데이터분석 데이터야놀자 #feature visualization r feature visualization t-sne mab 개인화경험 추천시스템목표

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플랫폼데이2013 workflow기반 실시간 스트리밍데이터 수집 및 분석 플랫폼 발표자료

11 years ago • 6668 Views

제1화 추천 시스템 이란.ppt

11 years ago • 13463 Views

추놀 3회 유사도 측정(우리아기는 누구와 더 닮았는가?)

11 years ago • 4116 Views

추놀 4회 영화 분류하기

11 years ago • 2099 Views

추놀 5회 무엇이든 분류해 보기

11 years ago • 5239 Views

Deview2014 Live Broadcasting 추천시스템 발표 자료

10 years ago • 10368 Views

2015 py con word2vec이 추천시스템을 만났을때

9 years ago • 25988 Views

2016 PyCon APAC - 너의 사진은 내가 지난 과거에 한일을 알고 있다.

8 years ago • 2783 Views

Python 오픈소스의 네이밍 특징들-파이콘격월세미나

8 years ago • 6056 Views

[데이터야놀자2107] 강남 출근길에 판교/정자역에 내릴 사람 예측하기

7 years ago • 61337 Views

눈으로 듣는 음악 추천 시스템-2018 if-kakao

6 years ago • 1791 Views

Song Feature 조금더

6 years ago • 1180 Views

추천시스템 이제는 돈이 되어야 한다.

5 years ago • 16521 Views

Deview2020 유저가 좋은 작품(웹툰)을 만났을때

4 years ago • 836 Views

개인화 추천은 어디로 가고 있는가?

4 years ago • 899 Views

Engagement, Metrics & Personalisation at Scale

Mounia Lalmas-Roelleke • 4 years ago

LinkedIn talk at Netflix ML Platform meetup Sep 2019

Faisal Siddiqi • 5 years ago

Digital 2020 Global Digital Overview (January 2020) v01

DataReportal • 5 years ago

아이템 추천의 다양성을 높이기 위한 후처리 방법(논문 리뷰)

hyunsung lee • 7 years ago

Data council SF 2020 Building a Personalized Messaging System at Netflix

Grace T. Huang • 4 years ago

데이터를 얻으려는 노오오력

Youngjae Kim • 8 years ago

Recent Trends in Personalization at Netflix

Justin Basilico • 4 years ago

Lessons learned from building practical deep learning systems

Xavier Amatriain • 5 years ago

SXSW2017 @NewDutchMedia Talk: Exploration is the New Search

Lora Aroyo • 8 years ago

Tutorial on Online User Engagement: Metrics and Optimization

Mounia Lalmas-Roelleke • 6 years ago

RecSys 2020 A Human Perspective on Algorithmic Similarity Schendel 9-2020

Zachary Schendel • 4 years ago

Beyond DAUs and MAUs, 3 Key Levers to Understanding User Engagement For Your Mobile Apps

CleverTap • 5 years ago

Facebook prophet

Minho Lee • 7 years ago

Is Growth Important? Yes. But Retention Is King

TheFamily • 10 years ago

The Holy Grail of Traction - Brian Balfour, HubSpot

Traction Conf • 9 years ago

Measuring user engagement: the do, the do not do, and the we do not know

Mounia Lalmas-Roelleke • 10 years ago

Personalizing the listening experience

Mounia Lalmas-Roelleke • 6 years ago

A/B 테스트를 적용하기 어려울 때, 이벤트 효과 추정하기 (2020-01-18 잔디콘)

Minho Lee • 5 years ago

Engagement, metrics and "recommenders"

Mounia Lalmas-Roelleke • 5 years ago

Calibrated Recommendations

Harald Steck • 6 years ago

Search-Based Serving Architecture of Embeddings-Based Recommendations (RecSys 2019)

Sonya Liberman • 5 years ago

Recent Trends in Personalization: A Netflix Perspective

Justin Basilico • 6 years ago

A Multi-Armed Bandit Framework For Recommendations at Netflix

Jaya Kawale • 7 years ago

2019 cvpr paper_overview

LEE HOSEONG • 6 years ago

Word2Vec Network Structure Explained

Subhashis Hazarika • 7 years ago

Visualizing Data Using t-SNE

David Khosid • 9 years ago

Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence

Dawen Liang • 8 years ago

Adaptation and Evaluation of Recommendationsfor Short-term Shopping Goals

LukasLerche • 9 years ago

Steffen Rendle, Research Scientist, Google at MLconf SF

MLconf • 10 years ago

딥러닝 기본 원리의 이해

Hee Won Park • 7 years ago

recommender system 추천시스템 데이터분석 #music recsys 추천 cosine similarity kmeans k-means 추천아 놀자 personal analytics recommendersystem similarity word2vec recsys 자아정량화 파이썬분석 quantify-self 네이밍 컨벤션 eda data analytics 탐색적데이터분석 데이터야놀자 #feature visualization r feature visualization t-sne mab 개인화경험 추천시스템목표

See more