how search, recommendation and advertising systems work

how search, recommendation and advertising systems work

Hello everybody!

My name is Oleksiy, I am the head of the Recommendations and Personalization product and technology department.

We spend a lot of time designing architecture, improving speed and optimizing algorithms:

  • Looking for ways to product and UX.

  • We speed up search runtime.

  • We use ML for advertising platform.

  • We train the model for the best recommendation result.

And with all this, we also delve into analytics and conduct many A/B experiments.

Our team solves problems that use interesting data structures and algorithms.

And we will talk about many of our solutions at the Ozon Tech Intro meetup: how search, recommendation and advertising systems work in Almaty on July 27 at 18:00 (15:00 Kyiv time).

In the program:

Anton Stepanenko

Service station Ozon

Opening of the meeting and welcome speech.

Sergey Saiyan

Head of the Product and Technology Department “Search, Recommendations, Advertising”

“Advertising platform in Ozon”
We learn what the architecture of the advertising platform looks like, how to sell 10,000 packs of buckwheat in 10 seconds, how to deal with finances and analytics, and where ML is in this story.

Leonid Toshchev

Head of the Product and Technology Department “Search Runtime and Indexing”

“A top view of Ozon’s search runtime architecture”
We’ll talk about document storage and indexing, collecting data from different sources, ranking documents based on custom features, as well as correcting typos and working with morphology and synonyms.

Oleksiy Guryanov

Head of Product and Technology Department “Recommendations and Personalization”

“How the Ozon recommendation system works”
Let’s discuss recommendation architecture, how recommendation services provide personalization of product delivery, and how we deal with dozens of recommendation shelves.

Ilya Osinovskov

Head of the development group “Product Recommendations”

“Machine learning for product recommendations in Ozon”
Let’s find out what the data science part of the recommendation system looks like for both personal recommendations and product-to-product recommendations.

Asya Kuchai

HRD Ozone Tech

It will tell about training programs, internships and life of the Ozon Tech community.

We meet at the Smart Point loft, 280 Bayzakova Street, Almaty. We start gathering at 5:30 p.m.

To participate in the event, register for exiled and wait for the confirmation in the letter. And if you want to join online, you will receive a link to the broadcast on the day of the event. The broadcast will be on our YouTube channel and in the VK community.

Do not forget, the number of seats in the hall is limited.

If you look events in Mykolaiv – https://city-afisha.com/afisha/

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