20240028353. COMPUTER SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR GATHERING DATA, AND ORGANIZING AND UTILIZING SUCH GATHERED DATA simplified abstract (SOCRATIC SCIENCES, INC.)
COMPUTER SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR GATHERING DATA, AND ORGANIZING AND UTILIZING SUCH GATHERED DATA
Organization Name
Inventor(s)
Steven Fredrick Elliott of Ann Arbor MI (US)
Zachary David Hill of New York NY (US)
Karl Niklas Lilja of Tokyo (JP)
Gregory B. Stock of Boise ID (US)
Matthew E. Sachs of Brooklyn NY (US)
COMPUTER SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR GATHERING DATA, AND ORGANIZING AND UTILIZING SUCH GATHERED DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240028353 titled 'COMPUTER SYSTEMS AND COMPUTER-IMPLEMENTED METHODS FOR GATHERING DATA, AND ORGANIZING AND UTILIZING SUCH GATHERED DATA
Simplified Explanation
The patent application describes a computer-implemented method for gathering, organizing, and utilizing information about users utilizing a gaming or other interface. Here is a simplified explanation of the abstract:
- The method generates a customized user interface for each user, presenting a series of questions.
- The answers from each user are ingested and associated with their user profile.
- A machine learning algorithm is used to identify groupings of users based on similarities in their user profiles.
- The customized user interface is adapted for each user based on their user profile.
Potential Applications:
- Personalized gaming experiences: The technology can be used to create customized user interfaces for gamers, tailoring the gaming experience based on their preferences and behavior.
- Targeted advertising: By understanding user profiles and groupings, advertisers can deliver more relevant and personalized advertisements to users.
- User segmentation: The method can be used to segment users into different groups based on their preferences and behaviors, allowing for targeted marketing strategies.
Problems Solved:
- Lack of personalization: The technology solves the problem of providing a generic user interface by adapting it based on individual user profiles, enhancing the user experience.
- Inefficient targeting: By identifying groupings of users with similar profiles, the method solves the problem of inefficiently targeting advertisements or content to users who may not be interested.
Benefits:
- Enhanced user experience: Users can enjoy a personalized and tailored interface that aligns with their preferences and behaviors.
- Improved marketing effectiveness: Advertisers can deliver targeted advertisements to specific user groups, increasing the likelihood of engagement and conversion.
- Efficient resource allocation: By understanding user profiles and groupings, resources can be allocated more efficiently, focusing on areas that are more likely to yield positive results.
Original Abstract Submitted
a computer-implemented method for gathering, organizing, and utilizing information about users utilizing a gaming or other interface can include generating, at a computing device having one or more processors, a customized user interface for each of a plurality of users. the customized user interface can present a series of questions to its associated user. the method can further include ingesting answers from each of the plurality of users and associating each user with his/her answers to form a user profile. a machine learning algorithm can be utilized to identify groupings of the plurality of users. each particular grouping can include users whose user profile is in some manner more similar to the user profiles of other users in the particular grouping than to the user profiles of users in other groupings. the method can also include adapting the customized user interface for each user based on the user profiles.
