Machine Learning Usecases for & related Kosei Acquisition

This article represents thoughts on recent acquisition of Kosei, a commerce recommendation system, by Please feel free to comment/suggest if I missed to mention one or more important points. Also, sorry for the typos.

Following are the key points described later in this article:

  • How could Machine Learning help Pinterest fuel its overall growth?
  • How could Kosei help


How could Machine Learning help Pinterest fuel its overall growth?

Yet another acquisiton in the space of machine learning, acquires Kosei to achieve some of the following objective:

  • Better ad targeting for greater mometization from ad clicks. This looks to be a case of identifying users clusters based on their browsing behavior and displaying appropriate ads to users belonging to these clusters. It could be solved with machine learning algorithms related with clustering. Additionally, one could come up with a classifier/learner which learns about clickability of ads from users clicks and in turn, may display more appropriate ads in future. It may also impact overall ads design.
  • Enhanced Pins recommendation on users’ home page: This would help brands reach to right set of people based on their browsing behavior in the past. Also, in general, users would be presented with pins that matches with their browsing behavior. As like above, this also look to be clustering problem where users with similar attributes are identified in different clusters and pins are appropriate targeted for these users cluster.
  • Product discovery & recommendations: Machine learning clustering algorithms could easily help recommend users to follow other users who post pins similar to their likings and, in turn, strengthen social networking aspect of the website.


How could Kosei help

Kosei reportedly have a very commerce recommendation system in place and it comes with a strong machine learning/data science team to Pinterest. It could help Pinterest in some of the follwing:

  • Strong team capable enough to create a machine learning system that could achieve some of the above-mentioned objectives
  • From product perspective, they could help design & develop following system:
    • Recommendation system for pins recommendation
    • Better Ad targeting system
    • Link building


Ajitesh Kumar
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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog,
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