Rules for the use of recommendation technologies ⋆ Техклуб

Why does our site use recommendation technologies?

Recommendation technologies on our website help customers choose products faster and more accurately, which saves time on purchases. We analyze various data. We do not allow the use of recommendation technologies that violate the rights and legitimate interests of citizens and organizations, and we also do not allow the use of recommendation technologies for the purpose of providing information in violation of the legislation of the Russian Federation.

We collect information about users' preferences when using our website.

Data used:

product search history;
pages viewed and clicks on them;
viewed products;
information about the user session;
products added to favorites;
clicks on search suggestions;
clicks on individual interface elements;
user region;
information about the user's device;
User OS;
referral source (UTM tag);
screen parameters (resolution, color depth, page placement parameters on the screen);
duration of the search session.

We also take into account similar aggregated data from other users. Depending on technical feasibility and feasibility, some data may not be collected and/or used to formulate recommendations.

How is data analyzed to formulate recommendations?

The algorithm selects recommendations based on a ranking system - the higher the likelihood that the user is interested in a certain product (opens its card, adds it to favorites), the higher this product will be located in the list of recommendations.
To generate recommendations, technologies such as neural networks, ensembles of decision trees, collaborative filtering and classical machine learning models are used. Algorithms are trained and applied to select the most relevant products for the site user based on his actions on the site.
To make recommendations, we analyze many factors, including user activity on the site and current demand for various products.

How can a user influence recommendations?

The user can influence recommendations through his actions on the site - searching and viewing products, adding them to favorites.
The more information we collect about preferences, the more accurate our recommendations will be.
If the user does not want us to use the collected data to make recommendations, the user can delete our website cookies in the browser. However, as you continue to use the site, data begins to be collected again.

Email address for inquiries: info@tehclub.site