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

Microsoft Technology Licensing, LLC

Inventor(s)

Gershom Payzer of Redmond WA (US)

Bridgette Marie Kuehn of Bellevue WA (US)

Christopher Ian Charla of Seattle WA (US)

Kathryn Stone Perez of Kirkland WA (US)

Madeline Jaye Whisenant of Seattle WA (US)

Lily Wang of Lisbon (PT)

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.