Geunhee Cho

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**Software Engineer, Data Developer, Data Engineer, Data Scientist** I'm currently working in NAVER for 10 months. Prior to that, I was employed in the same company in 2009 as a software engineer until 2012. It was August of 2012 when I worked at Samsung Electronics as a technical leader and senior software engineer for three years. I’m interested in large-scale data mining for information retrieval and recommendation system particularly based on machine learning and deep learning. I am improving image search quality of NAVER using those researches especially focused on attraction, product, clothes, foods images and I am also: * Enthusiastic, professional with a wide range of experi...

deep learning cnn relevance vlad weakly supervised netvlad place recognition visual search image search search applicaton pinterest search evaluation weight function naver bm25 probability ranking principle modeling weight information retrieval binary independence model document scoring function prp bm25f informationretrieval recall f measure ir user happiness precision evaluation

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Geunhee Cho

Présentations

Information Retrieval - Evaluation

Information Retrieval - Modeling

유사 이미지 검색 기술 동향 - Pinterest 사례

NetVLAD: CNN architecture for weakly supervised place recognition

J’aime

Dataiku at SF DataMining Meetup - Kaggle Yandex Challenge

Evaluation in IR system (검색 시스템의 평가)

[SNU Computer Vision Course Project] Image Style Recognition

Introduction to cassandra

Collaborative Filtering with Spark

12 Personality Traits Of A Great Boss

Cep 소개 - for developers

Machine Learning on Azure - AzureConf

Strata NY 2014 - Architectural considerations for Hadoop applications tutorial

차원축소 훑어보기 (PCA, SVD, NMF)

SociaLite: High-level Query Language for Big Data Analysis

IoT & 오픈소스

Large Scale Graph Processing with Apache Giraph

2010-Pregel