Home Insights All authors Aleksey Romanov
Aleksey Romanov

Aleksey Romanov

Aleksey Romanov graduated from Saratov State University with a Master’s degree in 2018, the Department of Computer Science and Information Technologies. Now he is studying for the Ph.D. program there. Aleksey has over 3 years of experience in programming and software development. He joined Grid Dynamics as Junior Data Scientist in 2018, and since then has been working on multiple R&D projects related to applying deep learning in recommender systems and information retrieval.


Check out the latest insights

Personalized e-commerce product recommendations
White Paper
Personalized e-commerce product recommendations
White Paper Personalized e-commerce product recommendations

In today's digital experience economy, product recommendations are becoming one of the core experience personalization components of web applications, working to increase brand engagements and sales conversion rates. In this whitepaper we provide a step-by-step guide on implementing a recommende...

Visual search: how to find manufacturing parts in a cinch
Article
Visual search: How to find manufacturing parts in a cinch
Article Visual search: How to find manufacturing parts in a cinch

The manufacturing industry is under immense pressure to adopt cutting-edge technology solutions in order to remain competitive in an increasingly digital and on-demand economy. You have to be faster, smarter and more agile to meet customer and industry demands, and process efficiency is fundamental...

Fighting with biases: How to measure diversity in streaming media
Article
Fighting with biases: How to measure diversity in streaming media
Article Fighting with biases: How to measure diversity in streaming media

TV broadcasters have  long held an indisputable title as the main players in the home entertainment industry.  But, with the  advancement of broadband technologies, this industry has been  rapidly taken over by the online streaming platforms, which now became the most prominent...

Understanding search query intent with deep learning
Article
Understanding search query intent with deep learning
Article Understanding search query intent with deep learning

Online retailers are always looking for ways to provide delightful and frictionless shopping experience to their customers. Product discovery, powered by search and category browsing, stays at the top of the sales funnel and has the highest impact in converting visitors to customers.  At the...

How deep learning improves recommendations for 80% of your catalog
Article
How deep learning improves recommendations for 80% of your catalog
Article How deep learning improves recommendations for 80% of your catalog

Are only 20% of your product catalog recommendations behavior driven? Product recommendations have become an essential sales tool for e-commerce sites. These recommendation systems typically use collaborative filtering, a common approach for building behavior-based recommendation engines u...

Get in touch

Let's connect! How can we reach you?

    Invalid phone format
    Submitting
    Personalized e-commerce product recommendations

    Thank you!

    It is very important to be in touch with you.
    We will get back to you soon. Have a great day!

    check

    Something went wrong...

    There are possible difficulties with connection or other issues.
    Please try again after some time.

    Retry