Recommendation Technologies Policy

Rules for Application of Recommendation Technologies

(“Recommendation Policy”)

Last Updated: [Insert Date/

These Rules govern the use of recommendation technologies on [Website Name/
(including all subdomains ..*) (the “Site”) for users (the “User”). Developed in accordance with Article 10.2-2(2) of Federal Law No. 149-FZ (July 27, 2006) “On Information, Information Technologies, and Information Protection,” this Policy supplements the Site’s User Agreement.

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1. Definitions

• “Recommendation Technologies”: Automated systems that analyze User preferences (collected per Section 4) to predict and suggest potentially relevant content.

• “Content”: Any audiovisual works (e.g., streams, broadcasts), multimedia, images, text, or other materials available on the Site, as determined solely by the Site Owner.

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2. Purpose

Recommendation Technologies aim to:
✔ Enhance User engagement with the Site
✔ Personalize content discovery
✔ Improve overall User experience

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3. Data Used for Recommendations

3.1 Preference Data

Algorithms analyze:

• Pages viewed (URLs, time spent, scroll depth)

• Content interaction history (plays, shares, completion rates)

3.2 Supplemental Data

• Cookies (subject to User settings)

• Device/browser characteristics (non-personal)

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4. How Recommendations Work

• Automated algorithms employ:

  • Collaborative filtering (comparison with similar Users)

  • Content-based analysis (metadata, tags)

• Methods evolve continuously; no single approach is guaranteed.

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5. Legal Compliance

Recommendation Technologies:
✅ Only suggest Content hosted on the Site
✅ Exclude illegal content or material violating Russian law
✅ Respect intellectual property rights

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6. User Rights

• Access all Content without algorithmic filtering via manual search.

• Adjust cookie settings to limit data collection (may reduce relevance).

• Submit feedback via [Contact Page/
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7. Policy Updates

The Site Owner may modify these Rules. Continued use constitutes acceptance.