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How Streaming Services Automatically Build Custom Radio Stations

A method for streaming services to create custom music radio stations by analyzing genre percentages and artist relationships to pick the best songs.

Granted 2018ActiveExpires 2035Owned by Gracenote IncInvented by Andrew Silverman, Peter C. DiMaria

Original patent title: “Station library creaton for a media service

Plain-English explanation by SahiLast reviewed · June 15, 2026

A method for streaming services to create custom music radio stations by analyzing genre percentages and artist relationships to pick the best songs. Granted to Gracenote Inc in 2018 with 22 claims and 3 forward citations.

Key facts

Patent numberUS 10108619
StatusActive
FieldConsumer Electronics
AssigneeGracenote Inc
InventorsAndrew Silverman, Peter C. DiMaria
Filed2015
Granted2018
Claims22
Times cited3
LitigationNone on record
Value · $68K$218KModest

Coverage

What does this patent actually cover?

This patent describes a system that builds a custom music station based on a 'seed,' such as a specific song or artist. It creates a 'station descriptor profile' that acts as a blueprint, breaking down the desired music into specific genre percentages. The system then compares candidate songs against this blueprint using a similarity score, while also applying 'boost values' for factors like language, artist relationships, or release dates. Finally, it selects the songs with the highest combined relevancy scores to populate the station library.

The gap

What does this patent NOT cover?

  • Does not cover manual playlist creation where a human selects every song.
  • Does not cover simple random shuffling of a user's entire library.
  • Does not cover hardware-based audio processing or signal compression techniques.
  • Does not cover social media-based music sharing or peer-to-peer recommendation systems.

These exclusions are unique to PatentBrief — derived from the actual claim language, not patent-office boilerplate.

What made this novel

The system uses 'focus genre profiles' that assign specific percentage weights to genres, allowing the algorithm to maintain a precise stylistic balance in a station rather than just picking songs that sound vaguely similar.

Station library creaton for a …(Primary claim)consumer electronicssoftwareai ml

Schematic visualization of the patent's claim structure. Hand-drawn diagrams in progress for each landmark patent.

Where you've seen this

Real-world examples

01

Spotify Radio

02

Pandora stations

03

Apple Music station generation

04

YouTube Music radio features

Why it matters

The bigger picture

This technology is fundamental to the 'radio' features found in modern music streaming services. By automating the creation of genre-balanced stations, services like Spotify or Pandora can keep users engaged without requiring them to curate their own music, which is essential for the subscription-based streaming business model.

Filed

December 31, 2015

Granted

October 23, 2018

Market context

Who's building on this

Companies in this space

Gracenote, now a subsidiary of Nielsen, provides the metadata and music recognition technology that powers many major streaming platforms. Companies like Spotify and Apple continue to refine these recommendation algorithms to improve user retention.

Market impact

This patent reflects the shift from static music libraries to dynamic, algorithmic streaming. It helped standardize the expectation that a streaming service should be able to generate an endless, coherent listening experience based on a single input.

Claim 1 — Plain English

What this patent covers

This patent describes a system that builds a custom music station based on a 'seed,' such as a specific song or artist. It creates a 'station descriptor profile' that acts as a blueprint, breaking down the desired music into specific genre percentages. The system then compares candidate songs against this blueprint using a similarity score, while also applying 'boost values' for factors like language, artist relationships, or release dates. Finally, it selects the songs with the highest combined relevancy scores to populate the station library.

The clever bit

The system uses 'focus genre profiles' that assign specific percentage weights to genres, allowing the algorithm to maintain a precise stylistic balance in a station rather than just picking songs that sound vaguely similar.

What it does not cover

  • Does not cover manual playlist creation where a human selects every song.
  • Does not cover simple random shuffling of a user's entire library.
  • Does not cover hardware-based audio processing or signal compression techniques.
  • Does not cover social media-based music sharing or peer-to-peer recommendation systems.

Patent timeline

Filing

Application submitted to the patent office

Publication

Application published, typically 18 months after filing

Grant

Patent officially issued

PatentBrief Score

Impact Score

Early stage

Citation count

12/40

Early citations

Claim breadth

15/20

Broad claimsclaimsThe numbered statements at the end of a patent that legally define what the inventor owns.Read more →

Recency

10/20

Granted 5–10 years ago

Assignee scale

0/20

Independent or smaller assigneeassigneeThe entity that owns the patent — usually the inventor's employer or a company.Read more →

PatentBrief Impact Score — based on citation count, claim breadth, recency, and assignee scale. Not a legal assessment.

Heuristic Value Estimate

What this patent might be worth

Modest

$68K$218K

Midpoint $137K · 9.5 yr remaining · industry ×1.4

Adjust inputs →

Heuristic only — blends forward/backward citation counts, claim scope, time remaining, litigation history, and CPC-derived industry baseline. Real valuations need a professional appraisal.

The original legal language

Original claims

22 claims as filed with the patent office.

Concepts involved

ClaimPrior artNon-obviousnessNoveltySpecificationAssigneePatent term

Citations

Patent lineage

Cites earlier patents

22

earlier patents this invention cites as foundations

View prior art →

Cited by later patents

3

later patents that build on this invention

View patents →

Cite this patent

Silverman, A., & DiMaria, P. C. (2018). How Streaming Services Automatically Build Custom Radio Stations (U.S. Patent No. 10,108,619). U.S. Patent and Trademark Office. https://patentbrief.org/patent/us/10108619/microsoft-edge-browser

Auto-generated from the patent record. Double-check author order and the issue date against the official USPTO document before submitting.

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Common Questions

Frequently Asked Questions

What does How Streaming Services Automatically Build Custom Radio Stations cover?

A method for streaming services to create custom music radio stations by analyzing genre percentages and artist relationships to pick the best songs.

Who owns patent US 10108619?

Gracenote Inc owns this patent, granted in 2018.

When does this patent expire?

This patent is expected to expire on October 23, 2038, when the invention enters the public domain.

What is patent US 10108619 cited by?

This patent has been cited by 3 later patents that build on its ideas.

What problem does this patent solve?

This technology is fundamental to the 'radio' features found in modern music streaming services. By automating the creation of genre-balanced stations, services like Spotify or Pandora can keep users engaged without requiring them to curate their own music, which is essential for the subscription-based streaming business model.

What does this patent NOT cover?

Does not cover manual playlist creation where a human selects every song.

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Last reviewed: June 15, 2026 · PatentBrief is not a law firm and this is not legal advice.