Physical Cookies for Unified User Profile Creation
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Solution Overview
Problem
Existing technologies fail to effectively combine and analyze both physical and digital attributes of user activity, limiting the ability to pinpoint user interests and habits comprehensively.
Innovation Solution
A method and apparatus that collect and group physical and digital attributes of a user using similarity measures to identify relatedness, allowing for the creation of enriched user profiles that combine physical and digital activity traces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If physical attributes and digital attributes are collected separately, then data collection is simple and straightforward, but the ability to pinpoint user interests and habits comprehensively is limited
Solution Approach 1:
The patent merges physical attributes (from sensors) and digital attributes (from online activity) into a unified user profile through a brokering platform. This combining of previously separate data sources enables comprehensive user interest and habit identification while managing integration complexity through standardized processes.
Solution Approach 2:
The patent introduces a brokering platform as an intermediary layer between physical sensor data and digital activity data. This mediator standardizes data formats, handles data matching, and enables seamless integration without requiring direct complex connections between all data sources, thus managing system complexity.
2Measurement precision
If physical and digital data are combined to create holistic user profiles, then user behavior prediction accuracy is enhanced, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing system into distinct functional modules: data collection from physical sensors, data collection from digital sources, data standardization, similarity measurement, and profile generation. This segmentation allows each module to handle specific tasks efficiently, reducing overall processing complexity while maintaining high prediction accuracy through comprehensive data integration.
Solution Approach 2:
The patent transforms diverse physical and digital attributes into standardized parameters through similarity measurement techniques. By converting different data types into comparable standardized forms, the system can accurately predict user behavior while managing processing complexity through parameter normalization.
3Loss of information
If sensor data is mined to collect physical attributes, then physical activity tracking is comprehensive, but data integration with digital activities becomes challenging
Solution Approach 1:
The patent creates a universal brokering platform that handles multiple data types (physical sensor data and digital activity data) through standardized interfaces. This multi-functional system can process various sensor formats and digital data sources uniformly, making integration challenging yet manageable through consistent processing rules.
Solution Approach 2:
The patent replaces manual data integration processes with automated similarity measurement algorithms. Instead of manually matching physical and digital attributes, the system uses computational methods to automatically identify relatedness, significantly reducing the difficulty of detecting and measuring integration relationships.
Data Source
AI summary
Methods and arrangements for associating physical activities and digital activities of a user. A plurality of physical attributes of the user are collected, via mining sensor data from at least one physical state associated with the user and a plurality of digital attributes relating to at least one digital activity of the user via mining the data from a digital presence of the user. A plurality of physical attributes and digital attributes are grouped based on a similarity measure. There are stored a grouping of the physical and digital attributes at a data storage location. Other variants and embodiments are broadly contemplated herein.