Правила применения рекомендательных технологий социальной сети ВКонтакте
- 1. The VK social network collects, systematizes and analyzes information related to the preferences of Internet users located on the territory of the Russian Federation (recommendation technologies) when using information technologies to provide information.
- 2. These Terms of Use describe the mechanisms and principles of operation of recommendation technologies of the VK social network and its apps and services (e.g., VK Video, VK Music, VK Clips, VK Market), as well as disclose what information about users is collected and used to generate recommendations.
- 3. VK social network uses recommendation technologies that allow for a better understanding users' content needs in order to provide users with high-quality and safe content that matches their thematic interests, and to improve the social network and its functionality.
- 4. Users' presumed preferences are determined by recommendation technologies depending on the user's actions in the VK social network - the more often and more actively the user interacts with certain content, communities, and users, the more accurate the recommendations become.
The information used by the VK social network to decide whether to recommend a particular content to the user includes ‘Like’, ‘Not Interesting’, ‘Share’, adding audio recordings to the “My Music” section or videos to the “My Videos” section, content commenting, frequency of viewing the content of a particular community or user, adding friends, joining communities and subscribing to users, viewing products in the Market, and similar information. Other factors may also be taken into account, such as aggregated information about the user preferences in the territory, to recommend, for example, live broadcasts or events nearby, or the rate of growth in popularity of a topic or specific content. In addition to generating recommendations, this information is used by the VK social network to conduct research aimed at improving and optimizing the functionality of the social network. - 5. Information about the users' perceived preferences is processed as follows:
- Recommendation technologies collect and analyze a portion of publicly available content, such as vectorized representations of user actions, text materials, images, videos and other content. Metadata and other information are evaluated, including information about the presumed subject matter of the content, the general popularity of the content with other users.
- Mathematical models are applied (including for the formation of a feature space), which, by means of multifactor analysis, classification, ranking of features and properties of the content, as well as user actions, allow to estimate the probability that the user's interaction with the content will be positive.
- The content selected in this way is ranked depending on the assessments of the probability of interaction, positivity of such interaction, duration of viewing, probability of subscription to the community, etc.
- 6. Users can influence the fact and order of displaying content by increasing or decreasing its rating, including by performing the following actions within the provided functionality of the social network: ‘Like’, ‘Share’, ‘Subscribe’, ‘Not interesting’, ‘Hide from feed’, ‘Report’.
- 7. The VK social network may display advertising materials provided by the VK Advertising platform, which uses its own algorithms for displaying advertising materials. The Terms of Use of VK Advertising Recommendation Technologies are available on the website at https://help.mail.ru/legal/terms/adsvk/recommendation.
- 8. Legal communications regarding the use of recommendation technologies may be sent to the e-mail address of V Kontakte LLC: [email protected].
- 9. These Terms of Use are available at https://vk.com/legal/recommendations.