View source for 18421755. SYSTEMS AND METHODS FOR RICH PERSONALIZATION OF COMPUTER GAME EXPERIENCES simplified abstract (Microsoft Technology Licensing, LLC)

=SYSTEMS AND METHODS FOR RICH PERSONALIZATION OF COMPUTER GAME EXPERIENCES=


==Organization Name==

[[:Category:Microsoft Technology Licensing, LLC|Microsoft Technology Licensing, LLC]]


[[Category:Microsoft Technology Licensing, LLC]]

==Inventor(s)==

[[:Category:Gershom Payzer of Redmond WA (US)|Gershom Payzer of Redmond WA (US)]][[Category:Gershom Payzer of Redmond WA (US)]]

[[:Category:Bridgette Marie Kuehn of Bellevue WA (US)|Bridgette Marie Kuehn of Bellevue WA (US)]][[Category:Bridgette Marie Kuehn of Bellevue WA (US)]]

[[:Category:Christopher Ian Charla of Seattle WA (US)|Christopher Ian Charla of Seattle WA (US)]][[Category:Christopher Ian Charla of Seattle WA (US)]]

[[:Category:Kathryn Stone Perez of Kirkland WA (US)|Kathryn Stone Perez of Kirkland WA (US)]][[Category:Kathryn Stone Perez of Kirkland WA (US)]]

[[:Category:Madeline Jaye Whisenant of Seattle WA (US)|Madeline Jaye Whisenant of Seattle WA (US)]][[Category:Madeline Jaye Whisenant of Seattle WA (US)]]

[[:Category:Lily Wang of Lisbon (PT)|Lily Wang of Lisbon (PT)]][[Category:Lily Wang of Lisbon (PT)]]

[[:Category:Jennifer Rose Guriel of Bothell WA (US)|Jennifer Rose Guriel of Bothell WA (US)]][[Category:Jennifer Rose Guriel of Bothell WA (US)]]

==SYSTEMS AND METHODS FOR RICH PERSONALIZATION OF COMPUTER GAME EXPERIENCES - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18421755 titled 'SYSTEMS AND METHODS FOR RICH PERSONALIZATION OF COMPUTER GAME EXPERIENCES

==Simplified Explanation==

The abstract describes a method of recommending unplayed game applications to a user based on their game history and associated tags.

* Obtaining game history from user profile
* Evaluating game history to obtain game events
* Accessing table of tags associated with game events
* Aggregating tags in a tag list in user profile
* Presenting recommendation of unplayed game based on tags

== Potential Applications ==
This technology could be applied in various industries such as e-commerce, entertainment, and social media platforms to recommend products, movies, or events to users based on their preferences and history.

== Problems Solved ==
This technology helps solve the issue of users being overwhelmed by choices when selecting a game application to play by providing personalized recommendations based on their past gaming experiences.

== Benefits ==
- Enhances user experience by offering tailored recommendations
- Increases user engagement and retention by suggesting relevant content
- Helps users discover new games they may enjoy based on their interests

== Potential Commercial Applications ==
"Personalized Game Recommendations for Enhanced User Experience"

== Possible Prior Art ==
One possible prior art could be recommendation systems used in e-commerce platforms to suggest products to users based on their browsing history and preferences.

== Unanswered Questions ==
=== How does the system ensure data privacy and security when accessing user profiles and game history? ===
The article does not delve into the specific measures taken to protect user data and ensure privacy when implementing this recommendation system.

=== What is the scalability of this technology for platforms with a large user base? ===
The scalability of the system for platforms with millions of users and extensive game libraries is not discussed in the article.


==Original Abstract Submitted==

A method of recommending an unplayed game application to a user includes obtaining a game history associated with a user profile, wherein the game history includes at least one game record of a game application the user profile has been used to play, and evaluating the game history to obtain a plurality of game events associated with a game application of the game history. The method further includes accessing a table of tags associated with the plurality of game events associated with the game application, aggregating a plurality of tags in a tag list in the user profile based at least partially on the table of tags and the plurality of game events, and presenting to the user a recommendation of an unplayed game application based at least partially on the plurality of tags.



[[Category:A63F13/67]]
[[Category:A63F13/537]]