Takanori Nakai

25 Followers

19 SlideShares 25 Followers 4 Folgens

19 SlideShares 25 Followers 4 Folgens

My responsibilities are - to deliver relevant ads or organic news article for docomo user - to optimize advertiser's KPI(ROAS, CPA, CVR). Through these job experiences, I have grown up the following four strong points, ①Service Strategy②Research③Development④Sales and Consulting. ①Service Strategy Google has so sophiscated Sponsord Search ads, on the other hand we also have the product. So, we have to think about why advertisers use D2C Sponsord Search ads. I think the solution is so simple and it is just the more efficient performance compared with the Google product. To do so, we have to hold some mathematical model to predict or recommend relevant information for many users. ②Researc...

regret minimization

Präsentationen
Dokumente
Infografiken

Aktuellste Beliebteste SlideShares

「ベータ分布の謎に迫る」第6回プログラマのための数学勉強会 LT資料

Ken'ichi Matsui • Vor 8 Jahren

動的計画法を極める！

HCPC: 北海道大学競技プログラミングサークル • Vor 7 Jahren

最適化超入門

Takami Sato • Vor 9 Jahren

Deep time-to-failure: predicting failures, churns and customer lifetime with RNN by Gianmario Spacagna, Chief Scientist at Cubeyou AI

Data Science Milan • Vor 5 Jahren

Conditional Image Generation with PixelCNN Decoders

suga93 • Vor 7 Jahren

20170422 数学カフェ Part2

Kenta Oono • Vor 7 Jahren

ConvNetの歴史とResNet亜種、ベストプラクティス

Yusuke Uchida • Vor 7 Jahren

機械学習の精度と売上の関係

Tokoroten Nakayama • Vor 6 Jahren

Recommender Systems: Advances in Collaborative Filtering

Changsung Moon • Vor 8 Jahren

音源分離における音響モデリング（Acoustic modeling in audio source separation）

Daichi Kitamura • Vor 6 Jahren

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

Dawen Liang • Vor 7 Jahren

Diversity and novelty for recommendation system

Zhenv5 • Vor 11 Jahren

More modern gpu

Preferred Networks • Vor 8 Jahren

Deep Learning and Automatic Differentiation from Theano to PyTorch

inside-BigData.com • Vor 6 Jahren

Assurtech : shift technology

Serrerom • Vor 6 Jahren

Utilizing Marginal Net Utility for Recommendation in E-commerce

Liangjie Hong • Vor 11 Jahren

[Rec sys2013勉強会]using maximum coverage to optimize recommendation systems in e commerce

Motoya Wakiyama • Vor 10 Jahren

Recsys 2016: Modeling Contextual Information in Session-Aware Recommender Systems with Neural Networks (Bartłomiej Twardowski)

Bartlomiej Twardowski • Vor 7 Jahren

C++による数値解析の並列化手法

dc1394 • Vor 7 Jahren

論文輪読資料「Gated Feedback Recurrent Neural Networks」

kurotaki_weblab • Vor 8 Jahren