Rakuten Marketing Data Breaks down Consumer Habits During the First Holiday Shopping Events of the Season

Larger Purchases Made on Single’s Day and a Higher Frequency of Orders During Click Frenzy
Rakuten Marketing have released findings from data collected on Single’s Day and Click Frenzy which for the first time ever, fell over three consecutive days (Nov 11 – 13).

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What is the difference between Segmentation and Personalization?

What is the difference between segmentation and personalization? This is the question that came up during one of the webinar on personalization by Optimizely. This blog post is for those who have the same question.Basic definition of Segmentation is  – division into separate parts or sections.

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Thoughts on reviewing

During ICML reviews I noticed that my personal take on reviewing is becoming increasingly distinct from my peers. Personally, I want to go to a conference and come away with renewed creativity and productivity. Thus, I like works that are thought provoking, groundbreaking, or particularly innovative; even if the execution is a bit off.

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What No One Tells You About Real-Time Machine Learning

During this year, I heard and read a lot about real-time machine learning. People usually provide this appealing business scenario when discussing credit card fraud detection systems. They say that they can continuously update credit card fraud detection model in real-time (See “What is Apache Spark?”, “…real-time use cases…” and “Real time machine learning”).

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The hacker’s guide to uncertainty estimates

It started with a tweet:
New years resolution: every plot I make during 2018 will contain uncertainty estimates— Erik Bernhardsson (@fulhack) January 7, 2018
Why? Because I’ve been sitting in 100,000,000 meetings where people endlessly debate whether the monthly number of widgets is going up or down, or whether widget method X is more productive than widget method Y.

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ICML has 3(!) Real World Reinforcement Learning Workshops

The first is Sunday afternon during the Industry Expo day. This one is meant to be quite practical, starting with an overview of Contextual Bandits and leading into how to apply the new Personalizer service, the first service in the world functionally supporting general contextual bandit learning.
The second is Friday morning. This one is more academic with many topics.

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