18672867. METHODS AND APPARATUS TO GENERATE ELECTRONIC MOBILE MEASUREMENT CENSUS DATA simplified abstract (The Nielsen Company (US), LLC)
Contents
METHODS AND APPARATUS TO GENERATE ELECTRONIC MOBILE MEASUREMENT CENSUS DATA
Organization Name
Inventor(s)
Kumar Nagaraja Rao of Fremont CA (US)
Tianjue Luo of Sunnyvale CA (US)
Albert Ronald Perez of San Francisco CA (US)
Stephen S. Bell of McHenry IL (US)
METHODS AND APPARATUS TO GENERATE ELECTRONIC MOBILE MEASUREMENT CENSUS DATA - A simplified explanation of the abstract
This abstract first appeared for US patent application 18672867 titled 'METHODS AND APPARATUS TO GENERATE ELECTRONIC MOBILE MEASUREMENT CENSUS DATA
Simplified Explanation: The patent application describes an apparatus that uses network communications from client devices to generate electronic mobile measurement data, create a model based on selected attributes, and associate demographic information with the data to reduce misattribution errors.
Key Features and Innovation:
- Utilizes network communications from client devices to generate electronic mobile measurement data.
- Creates a model based on selected attributes from the data.
- Associates demographic information with the data to reduce misattribution errors.
- Determines the primary user of a second client device and associates demographic information accordingly.
Potential Applications: The technology can be applied in market research, targeted advertising, user behavior analysis, and personalized user experiences.
Problems Solved: The technology addresses issues related to accurately attributing mobile measurement data to specific users, reducing misattribution errors, and improving the understanding of user behavior.
Benefits:
- Enhanced accuracy in attributing mobile measurement data to users.
- Improved targeting of advertising and personalized user experiences.
- Better understanding of user behavior for market research purposes.
Commercial Applications: Potential commercial applications include market research firms, advertising agencies, mobile app developers, and companies seeking to optimize user experiences based on demographic information.
Prior Art: Prior art related to this technology may include research on mobile data attribution, user behavior analysis, and demographic targeting in advertising.
Frequently Updated Research: Researchers may be conducting studies on the effectiveness of demographic targeting in mobile advertising, the impact of misattribution errors on data analysis, and the evolution of user behavior analysis in mobile technology.
Questions about Mobile Measurement Data Attribution: 1. How does the technology determine the primary user of a second client device? 2. What are the potential challenges in accurately associating demographic information with electronic mobile measurement data?
Original Abstract Submitted
An example apparatus includes at least one memory, instructions, and at least one processor to execute the instructions to generate electronic mobile measurement data based on network communications received from first client devices, select attributes associated with the electronic mobile measurement data to include in a model, generate the model based on the attributes and a first portion of the electronic mobile measurement data, determine a percentage of a second portion of the electronic mobile measurement data that the model correctly associates with corresponding first users of the first client devices, and when the percentage satisfies a threshold determine: (a) when a second user operating a second client device is a primary user, and (b) when the user operating the second client device is a third user, and associate demographic information of the second user with the electronic mobile measurement data to reduce a misattribution error.
