17925486. Techniques for Generating Analytics Reports simplified abstract (GOOGLE LLC)

Techniques for Generating Analytics Reports

Organization Name

GOOGLE LLC

Inventor(s)

Matthew Thompson Walter of Ladera Ranch CA (US)

Michael Joseph Valenty of Carlsbad CA (US)

Sundardas Samuel Dorai-raj of Campbell CA (US)

Moshe Lichman of Costa Mesa CA (US)

Manish Agrawal of Sunnyvale CA (US)

Joseph Kelly of Brooklyn NY (US)

Michael Andrew Wallace of San Francisco CA (US)

Stephen Paul Ganem of Huntington Beach CA (US)

Techniques for Generating Analytics Reports - A simplified explanation of the abstract

This abstract first appeared for US patent application 17925486 titled 'Techniques for Generating Analytics Reports

The abstract describes a method for generating a report for a website by accessing unidentified events, associating them with properties, calculating pseudo users using a prediction model, assigning events to pseudo users, and generating a report based on this information.

• Accessing unidentified events associated with properties
• Calculating pseudo users using a prediction model
• Assigning events to pseudo users based on properties
• Generating a report for the website based on assigned events

Potential Applications: - Website analytics - User behavior analysis - Personalized content delivery

Problems Solved: - Efficient report generation - Improved user engagement - Targeted marketing strategies

Benefits: - Enhanced user experience - Data-driven decision making - Increased website performance

Commercial Applications: - Digital marketing agencies - E-commerce platforms - Content management systems

Questions about the technology: 1. How does the method calculate pseudo users? 2. What are the key properties associated with the unidentified events?

Frequently Updated Research: - Stay updated on machine learning advancements in user behavior analysis.

Original Abstract Submitted

Techniques for generating a report for a website are presented herein. A method can include accessing, by one or more computing devices, a plurality of unidentified events. Each event in the plurality of unidentified events can be associated with one or more properties. Additionally, the method can calculate, using a machine-learned prediction model, a number of pseudo users associated with the plurality of unidentified events based on an event-to-user-ratio and a total number of unidentified events. Moreover, the method can include assigning a first event from the plurality of unidentified events to a first pseudo user based on the one or more properties of the first event. Furthermore, the method can include generating the report for the website. The report includes information derived from the first event being assigned to the first pseudo user.