SYSTEMS AND METHODS FOR SWITCHING BETWEEN MEDIA CONTENT

Organization Name

spotify ab

Inventor(s)

Aaron Paul Harmon of New York NY (US)

Adam Shonkoff of Reading MA (US)

Bradford Lage of Cranston RI (US)

Johanna Anderson Favole of Franklin MA (US)

Justin David Covington of Nashville TN (US)

Paul Lamere of Bath ME (US)

Timothy Andrew Chagnon of Concord MA (US)

Debra Lynn Mcdonald of San Francisco CA (US)

Matthew Julian Seaton of Somerville MA (US)

Matthew Budelman of Providence RI (US)

Scott Kagan of Newton MA (US)

SYSTEMS AND METHODS FOR SWITCHING BETWEEN MEDIA CONTENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240223635 titled 'SYSTEMS AND METHODS FOR SWITCHING BETWEEN MEDIA CONTENT

The abstract describes a method for personalizing media content for a user by streaming a first media item from a first set of media items and selecting a second set of media items in response to a user request, without user intervention, using a heuristic to determine the presentation order.

Streaming a first media item from a first set of media items
Selecting a second set of media items in response to a user request
Determining presentation order using a heuristic
Compiling the second set of media items using a second recommendation hypothesis
Streaming a second media item from the second set of media items

Potential Applications: - Personalized content recommendations for streaming services - Enhanced user experience in media consumption - Targeted advertising based on user preferences

Problems Solved: - Overcoming the limitations of traditional media content recommendations - Providing users with a more tailored and engaging media experience

Benefits: - Increased user satisfaction and engagement - Improved content discovery - Enhanced user retention and loyalty

Commercial Applications: Title: Personalized Media Content Recommendation System This technology can be utilized by streaming platforms, online media services, and digital advertising companies to enhance user engagement and drive revenue through targeted content recommendations.

Questions about Personalized Media Content Recommendation System: 1. How does this method improve user experience compared to traditional media content recommendations?

  - This method enhances user experience by providing personalized content recommendations based on user preferences, leading to increased engagement and satisfaction.

2. What are the potential challenges in implementing this technology on a large scale?

  - Implementing this technology on a large scale may require significant computational resources and data processing capabilities to handle a vast amount of user data and content recommendations effectively.

Original Abstract Submitted

a method for personalizing media content for a user is provided. the method includes, at an electronic device, streaming a first media item from a first set of media items, the first set of media items compiled using a first recommendation hypothesis. the method further includes, while streaming the first media item, in response to a first user request, selecting, without user intervention, a second set of media items, distinct from the first set of media items, including determining a presentation order of a plurality of sets of media items using a heuristic applied to the plurality of sets of media items. the second set of media items is compiled using a second recommendation hypothesis, wherein the second recommendation hypothesis is distinct from the first recommendation hypothesis. the method includes streaming a second media item from the second set of media items.