
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.
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For retailers, eCommerce leaders, and data scientists looking to boost customer engagement, product discovery, and revenue per visitor, this white paper offers a hands-on, technically guided approach to building an effective personalization engine. The guide explains how to bridge the gap betwe...

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...
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...

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...

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...