vgoloviznin

9 ms·

1. 1.▲
   How we did not get into YC again(blog.metarank.ai)

   1 points by vgoloviznin 4y ago|0 comments
2. 2.▲
   Automatic Feature Engineering with Metarank(blog.metarank.ai)

   1 points by vgoloviznin 4y ago|0 comments
3. 3.▲
   Personalized Ranking API with Docker(blog.metarank.ai)

   1 points by vgoloviznin 4y ago|0 comments
4. 4.▲
   Your ML setup is not unique: you don’t need more data scientists(blog.metarank.ai)

   4 points by vgoloviznin 4y ago|0 comments
5. 5.▲
   by vgoloviznin 4y ago

   A lot of projects just don't state tracking explicitly
6. 6.▲
   by vgoloviznin 4y ago

   It would be interesting to see the % of users that decide to opt-in for the tracking
7. 7.▲
   by vgoloviznin 5y ago

   We had 56 just before we posted on HN, we actually got blown away by the community interest
8. 8.▲
   by vgoloviznin 5y ago

   This might have been due to the overload of the backend that we got thanks to HN :)
9. 9.▲
   by vgoloviznin 5y ago

   You can check out the features that increased, as we're using not only the director, but tags and other movie features in the model. All of this is configurable, of course, so you can adjust the behaviour to your use case
10. 10.▲
    by vgoloviznin 5y ago

    Thanks for bringing up the issue, we will take a look! As for the Dockerfile, it's built via sbt at the moment, but we will look at adding it to the repo as well.
11. 11.▲
    by vgoloviznin 5y ago

    We were considering creating a plugin for elasticsearch, but there's already one (ES-LTR) and such architecture limits the ability to create a good multi-purpose system. We're still considering building plugins to easier integrate
12. 12.▲
    by vgoloviznin 5y ago

    Generally it's possible to implement any type of behaviour as you control what features and actions are taken into account. The demo is not really optimized for mobile as the goal, apart from clicks on the movies, is to show the featur
13. 13.▲
    by vgoloviznin 5y ago

    We're completely on board with you for reinforcement learning, however we wanted to start with something simpler to build the tool faster. RL is one the plate however!
14. 14.▲
    by vgoloviznin 5y ago

    I can actually relate to this, especially when personalization is applied in search. However our stats and a\b test results show that personalization improves overall store conversion, ctr and other important metrics in ecommerce. And seein
15. 15.▲
    by vgoloviznin 5y ago

    Thanks for the tip, we will take a look!
16. 16.▲
    by vgoloviznin 5y ago

    Thanks for bringing this up, I've created an issue in their github to unblock us
17. 17.▲
    by vgoloviznin 5y ago

    Looks like our demo is struggling with the load, typically it would display a list of movies with which you can interact. We're looking at what we can do to revive it
18. 18.▲
    by vgoloviznin 5y ago

    Let us know if you want to try it out and we will help as much as we can! The tool might be useful for larger companies as well, as it can give a head start for the machine learning engineers as they won't need to build the tools from
19. 19.▲
    by vgoloviznin 5y ago

    That's exactly the problem we want to tackle - democratize machine learning, to make more developers and businesses apply it
20. 20.▲
    by vgoloviznin 5y ago

    Thanks for bringing this up :)