US 10,592,577 B2 · Systems and methods for updating a webpage

Abstract

In many embodiments, the method can comprise storing one or more user actions of a user of one or more users in a database, sorting the one or more user actions into one or more user action types, and extracting one or more correlated signals related to the one or more user actions of the user of the one or more users based at least in part on the one or more user action types to determine one or more independent signals related to the one or more user actions of the user of the one or more users. In some embodiments, the method can further comprise averaging the one or more independent signals related to the one or more user actions of the user of the one or more users to determine a personalization score related to the user of the one or more users and updating a webpage for the user of the one or more users based at least in part on the personalization score. Other embodiments of related methods and systems are also provided.

Claims20

Dependent claims

A system comprising:

one or more processors;
and
one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform:
storing two or more user actions of a user of one or more users in a database;
sorting the two or more user actions into two or more user action types;
extracting, by a Mahalanbois transformation, two or more correlated signals related to the two or more user actions of the user of the one or more users based at least in part on the two or more user action types to determine two or more independent signals related to the two or more user actions of the user of the one or more users;
averaging the two or more independent signals related to the two or more user actions of the user of the one or more users to determine a personalization score related to the user of the one or more users;
and
after the user of the one or more users has returned to a homepage of a website, recommending one or more search terms for a search query based at least in part on the personalization score.

6 more elements

A method comprising:

updating a user profile of a user of one or more users based at least in part on a determination of a personalization score of the user of the one or more users, wherein determining the personalization score of the user of the one or more users comprises:
storing two or more user actions of the user of the one or more users in a database;
sorting the two or more user actions into two or more user action types;
extracting, by a Mahalanbois transformation, two or more correlated signals related to the two or more user actions of the user of the one or more users based at least in part on the two or more user action types to determine two or more independent signals related to the two or more user actions of the user of the one or more users;
averaging the two or more independent signals related to the two or more user actions of the user to determine the personalization score related to the user of the one or more users;
and
after the user of the one or more users has returned to a homepage of a website, recommending one or more search terms for a search query based at least in part on the personalization score.

4 more elements

Dependencies are inferred from the claim text.

Systems and methods for updating a webpage

Life of this patent

Systems and methods for updating a webpage

Life of this patent

Abstract

Claims20