Social Profile Data Classification for Candidate Action Alerts

Solution Overview

Problem

Current classification systems for social profile data lack efficiency in identifying relevant candidate actions for users, often requiring extensive resource usage and latency due to querying large databases for real-time social profile data.

Innovation Solution

A method involving data processing systems that classify social profile data into predefined categories, filter candidate actions associated with the user, and transmit alerts with URLs to activate selected actions on wireless devices, utilizing a classifier to reduce resource usage by processing data in real-time and minimizing database queries.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the system queries large databases for real-time social profile data, then it can identify relevant candidate actions for users, but it causes extensive resource usage and latency

Engineering Contradiction:

Improveaccuracy of candidate action identificationVSAvoidlatency

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary classification of users into predefined categories using a classifier before identifying candidate actions. This preliminary action organizes users into groups based on their social profile data characteristics, allowing the system to quickly retrieve pre-processed candidate actions associated with each category rather than querying the entire database for each user, thereby reducing latency while maintaining accuracy

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system segments the large database of social profile data into predefined categories using a classifier. By dividing the user base into distinct segments (categories) based on their profile characteristics, the system can efficiently manage and query smaller subsets of data corresponding to each category, reducing the overall resource usage and query time while maintaining comprehensive coverage of relevant candidate actions

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If the system queries large databases for real-time social profile data, then it can identify relevant candidate actions for users, but it consumes extensive computational resources

Engineering Contradiction:

Improveaccuracy of candidate action identificationVSAvoidcomputational resource usage

Core Design Contradiction:

Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary classification of users into predefined categories using a classifier before identifying candidate actions. This preliminary action organizes users into groups based on their social profile data characteristics, allowing the system to quickly retrieve pre-processed candidate actions associated with each category rather than querying the entire database for each user, thereby reducing latency while maintaining accuracy

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system segments the large database of social profile data into predefined categories using a classifier. By dividing the user base into distinct segments (categories) based on their profile characteristics, the system can efficiently manage and query smaller subsets of data corresponding to each category, reducing the overall resource usage and query time while maintaining comprehensive coverage of relevant candidate actions

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS10628745B2Data classification with social profile data

Publication Date: 2020.04.21 FMR CORP

AI summary

A method of processing data by one or more data processing systems for classification of the processed data into one or more predefined classifications, the method comprising: receiving by one or more data processing systems social profile data; binding by the one or more data processing systems based on the input social profile data, values of one or more attributes included in the social profile data to one or more parameters of a classifier executing on the one or more data processing systems; classifying data representing the user into one or more predefined classifications; for one of the predefined classifications into which the data representing the user is classified, identifying by the one or more data processing systems a candidate action included in the predefined classification and unassociated with the user; and transmitting an alert to notify the user of the candidate action.