View source for 18522847. SYSTEMS AND METHODS FOR ASSOCIATING PROGRAM ACTORS WITH PROGRAM GENRES simplified abstract (Rovi Guides, Inc.)

=SYSTEMS AND METHODS FOR ASSOCIATING PROGRAM ACTORS WITH PROGRAM GENRES=


==Organization Name==

[[:Category:Rovi Guides, Inc.|Rovi Guides, Inc.]]


[[Category:Rovi Guides, Inc.]]

==Inventor(s)==

[[:Category:Ankur Anil Aher of Maharashtra (IN)|Ankur Anil Aher of Maharashtra (IN)]][[Category:Ankur Anil Aher of Maharashtra (IN)]]

[[:Category:Aman Puniyani of Bangalore (IN)|Aman Puniyani of Bangalore (IN)]][[Category:Aman Puniyani of Bangalore (IN)]]

==SYSTEMS AND METHODS FOR ASSOCIATING PROGRAM ACTORS WITH PROGRAM GENRES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18522847 titled 'SYSTEMS AND METHODS FOR ASSOCIATING PROGRAM ACTORS WITH PROGRAM GENRES

==Simplified Explanation==

Methods and systems for calculating, storing, and allowing electronic searches for metadata associated with media titles. The metadata includes scores specific to each actor and each genre of a media title, where the scores indicate the degree to which an actor's performance in that title corresponds to a particular genre. Electronic searches for particular actors' performance in a specific genre thus return more accurate results that more correctly reflect how well the actors' performances reflect that genre.

* Calculates and stores metadata for media titles
* Assigns scores to actors based on their performance in each genre
* Allows electronic searches for specific actors' performance in a particular genre
* Improves accuracy of search results by reflecting actors' performances in genres more accurately

== Potential Applications ==
This technology could be applied in:
* Movie and TV show recommendation systems
* Casting decisions for films and shows
* Genre-specific actor performance analysis

== Problems Solved ==
This technology solves the following problems:
* Inaccurate genre categorization of actors' performances
* Lack of efficient search capabilities for specific actor-genre combinations

== Benefits ==
The benefits of this technology include:
* Enhanced accuracy in matching actors to specific genres
* Improved search results for users looking for specific actor-genre combinations

== Potential Commercial Applications ==
Potential commercial applications of this technology include:
* Integration into streaming platforms for personalized recommendations
* Licensing to production companies for casting decisions
* Implementation in entertainment industry analytics tools

== Possible Prior Art ==
One possible prior art could be the use of metadata in media recommendation systems, but the specific scoring of actors based on genre performance may be a novel aspect of this technology.

=== Unanswered Questions ===

==== How does this technology handle cases where an actor's performance spans multiple genres? ====
The system likely assigns scores to actors for each genre they are associated with based on the degree of correspondence, but it is unclear how it handles cases where an actor's performance is not easily categorized into a single genre.

==== What measures are in place to ensure the accuracy and reliability of the scores assigned to actors for each genre? ====
It is important to understand the methodology and validation processes used to calculate these scores to ensure they are meaningful and reflective of the actors' performances in different genres.


==Original Abstract Submitted==

Methods and systems for calculating, storing, and allowing electronic searches for metadata associated with media titles. The metadata includes scores specific to each actor and each genre of a media title, where the scores indicate the degree to which an actor's performance in that title corresponds to a particular genre. Electronic searches for particular actors' performance in a specific genre thus return more accurate results that more correctly reflect how well the actors' performances reflect that genre.



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