Automated recommendation
What does it mean
Automated recommendation means the use of algorithms and technologies to automatically provide recommendations based on the data and information available. These recommendations can be targeted at various areas, such as products, services, content, and many others. They depend on the data that is available and the algorithms that are used to generate them.
More info
Automated recommendations are often used in online stores, search engines, and social networks to help users find relevant and interesting products, services, or content. This self-learning tool also works for effective up-sell & cross-sell. It operates on the principles of artificial intelligence and neural networks. Initially, anonymized data about products, users, and their behavior are collected. Thanks to them, specially set algorithms, and thus created statistical models, this system can predict what is best for each individual customer and what they are most likely to purchase.
Check out automated product recommendations based on artificial intelligence from ui42.
Latest news
What is web development and who is a web developer?
-
03.05.2024
-
10 min read
What is B2B and B2C and what is the difference between them?
-
24.04.2024
-
7 min read
13 Secret Tools for Google Ads Campaign Optimization: How to Achieve Online Dominance?
-
17.04.2024
-
5 min read
How much of the marketing budget to allocate to the brand?
-
16.04.2024
-
6 min read
What is PPC advertising and what types of campaigns do we know in Google Ads?
-
15.04.2024
-
8 min read
SEO audit reveals weak spots: How to conduct a quality SEO analysis?
-
15.04.2024
-
11 min read
The purpose of the usability testing
-
15.04.2024
-
4 min read
14 tips that will help you kickstart your online shop
-
08.04.2024
-
6 min read
13 findings on how to improve forms on web pages
-
08.04.2024
-
8 min read
5 Foundations for Properly Scaling Your E-commerce Business
-
02.04.2024
-
9 min read
Don't miss out on the latest news from the world of UX, programming, analytics, and marketing.