18130755. STREAMING CHANNEL PERSONALIZATION simplified abstract (Microsoft Technology Licensing, LLC)

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STREAMING CHANNEL PERSONALIZATION

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Mayank Mishra of Issaquah WA (US)

STREAMING CHANNEL PERSONALIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18130755 titled 'STREAMING CHANNEL PERSONALIZATION

Simplified Explanation

The present disclosure is about devices and methods for personalizing channel parameters for streaming content to a client device. This is done by dynamically adjusting channel parameters based on learned user preferences.

  • The devices and methods receive context information from a client device.
  • They send a rank and reward call to a reinforcement learning system for a recommendation on the value of the channel parameters.
  • The rank and reward call includes context information, a user vector, an item vector, and a reward function error.
  • The reinforcement learning system uses this information to provide a recommendation for the value of the channel parameters.
  • The devices and methods then use this recommendation to set the value of the channel parameters for streaming content to the client device.

Potential Applications

  • Personalized streaming services: This technology can be used by streaming platforms to personalize the channel parameters for each user, providing a tailored streaming experience.
  • Content recommendation systems: By learning user preferences and adjusting channel parameters accordingly, this technology can enhance content recommendation systems, improving the accuracy and relevance of recommendations.

Problems Solved

  • Lack of personalization: Traditional streaming services often provide a one-size-fits-all approach, without considering individual user preferences. This technology solves this problem by dynamically adjusting channel parameters based on learned user preferences.
  • Inaccurate content recommendations: By using reinforcement learning and user feedback, this technology addresses the issue of inaccurate content recommendations, ensuring that users receive content that aligns with their preferences.

Benefits

  • Enhanced user experience: By personalizing channel parameters, users can enjoy a streaming experience that is tailored to their preferences, resulting in higher satisfaction.
  • Improved content discovery: With more accurate content recommendations, users can discover new content that aligns with their interests, leading to increased engagement and exploration of the streaming platform's library.
  • Increased user retention: By providing a personalized and relevant streaming experience, this technology can help streaming platforms retain users and reduce churn rates.


Original Abstract Submitted

The present disclosure relates to devices and methods for personalizing channel parameters for streaming content to a client device by dynamically adjusting channel parameters in response to learned user preferences. The devices and methods may receive context information from a client device and may send a rank and reward call to a reinforcement learning system for a recommendation for a value of the channel parameters. The rank and reward call may include the context information, a user vector, an item vector and a reward function error. The reinforcement learning system may use the information provided in the rank and reward call to the provide a recommendation for the value of the channel parameters. The devices and methods may use the recommendation to set the value of the channel parameters to stream the content to the client device.

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