Yandex has introduced an updated Lavka application with a new interface and an emphasis on personalized recommendations. The main page is now built around a recommendation feed. This was reported in the company's press service.
The service uses neural network models to analyze purchase history and the behavior of similar users to select relevant products and additions to the cart. According to the service, after the update, users are 50% more likely to notice and buy new items for themselves, and orders placed through the recommended block on the main page have increased by 70%.
The application also has a bottom horizontal menu for quick access to four sections: «Главная», «Каталог», «Готовая еда» and «Корзина». The changes are aimed at simplifying navigation and helping to choose from the assortment, which has increased more than tenfold in six years.
Read more on the topic:
New service launched in «Яндекс Лавке»
Now on home
The country will also form a universal air defense system
The crew evaluated the performance of long-range shortwave communication
The new production facility will repair engines for narrow-body Airbus and Boeing aircraft
More than 75 million users registered in the messenger
The priority is supplying its own army
Foreign Customers Are Ready - But Russia Is First in Line
New generation of such systems is capable of hitting targets at a distance of up to 300 kilometers
Tests Confirmed the Correctness of Design Solutions
The pilot in the cockpit will be present as a controller
Semiconductor plant "Arsenal" went to court against "Kronshtadt"
The exact launch date will be determined after testing
Замглавы ведомства рассказал о мерах для снижения количества опасной продукции на российском рынке