Rules for the Use of Recommendation Technologies

• 1. Terms and Definitions
  • 1.1 Recommendation Technologies

    Information technologies used to provide content based on the collection, systematization, and analysis of data related to users’ preferences on the Internet.

  • 1.2 Website

    A set of software and information contained within an information system, accessible via the Internet through domain names and/or network addresses.

  • 1.3 Content

    All materials placed on the Website, including but not limited to: design, texts, photographs, illustrations, audio clips, video clips, audiovisual works, graphic elements, and other objects of intellectual property, as well as trademarks and service marks.

  • 1.4 Widget

    A module containing visual elements (vector or raster images) and/or text messages.

  • 1.5 Software (Computer Program)

    A set of data and instructions intended for operation by computers and other devices to achieve a specific result, including preparatory materials and any audiovisual outputs generated.

  • 1.5.1 User

    An anonymized visitor of a platform, identified by software, assigned a unique identifier and profile.

  • 1.6 Platform

    A website, mobile application, or other Internet resource where informational or advertising content is delivered to users via software.

  Unless otherwise stated, any undefined term shall be interpreted according to generally accepted industry practice.

• 2. Description of Recommendation Technologies
  • 2.1 Recommendation technologies used on the website and in widgets provide users with content that is thematically or contextually similar to content previously viewed by other users. In addition to user preference data, the algorithms may also use information obtained from cookies, subject to user settings.
  • 2.2 To generate recommendations, dedicated software collects information about user actions, including page views and clicks on links. Additional data such as time zone and approximate device location may also be used. Content rotation in partner widgets is performed using software.
  • 2.3 Recommendations are generated using the following methods:
- Similar content matching: selecting content based on categories and keywords related to previously viewed pages.
- Popular content recommendations: suggesting content that is most frequently visited by other users.
• 3. Personalization

  Recommendations are generated individually for each user. No specific actions are required from users for the recommendation system to function.

• 4. User Access

  Recommendation technologies do not restrict user access to content, do not hide pages, and do not interfere with browsing, searching, or accessing other websites.

• 5. Content Restrictions

  Recommendation technologies are not used to distribute content that violates the rights or legitimate interests of individuals or organizations, or to disseminate unlawful information.

• 6. Availability

  These Rules are publicly available and accessible to all users without restriction or charge.

• 7. Contact

  For legally significant inquiries regarding the operation of recommendation technologies, please contact: support@giraff.io

Notice: The website and widgets use recommendation technologies based on the collection, systematization, and analysis of user preference data.