Implicit Demographic Detection via Text Analysis

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Solution Overview

Problem

Current search systems and advertising methods fail to effectively target users based on their true intentions and demographics, as they rely on static and irrelevant data, making it difficult to extract meaningful and timely information, and do not account for user intents beyond their online behavior.

Innovation Solution

A system and method for detecting implicit demographic information by collecting textual content from social networks and other data sources, using probabilistic models and correlation to extract explicit and implicit demographic information, and storing it in a data warehouse for analysis and advertising management.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If search systems collect and store large amounts of information from web pages and social networks, then the quantity of available information increases, but the quality and relevance of information for targeted advertising decreases due to irrelevant data overwhelming meaningful information

Engineering Contradiction:

Improvequantity of informationVSAvoidprecision of demographic information

Core Design Contradiction:

Quantity of substanceVSMeasurement precision

Solution Approach 1:

The system extracts only the relevant demographic information from vast amounts of unstructured text data collected from social networks and web pages. Processing units identify and extract explicit demographic data (age, gender, location) and implicit demographic data (interests, preferences, lifestyle) while filtering out irrelevant information, thus resolving the contradiction between information quantity and precision

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent introduces processing units as intermediaries between data collection and advertising delivery. These units analyze collected text data, extract meaningful demographic information, and deliver refined insights to advertisers, acting as a mediator that transforms raw data into precise demographic profiles for targeted advertising

Inventive Principle:

Principle #24Intermediary (Mediator)

2Productivity

If advertisers target customers based on online behavior data, then advertising reach increases, but advertising effectiveness decreases because the system cannot determine true user intent and demographics

Engineering Contradiction:

Improveadvertising reachVSAvoidaccuracy of user targeting

Core Design Contradiction:

ProductivityVSMeasurement precision

Solution Approach 1:

The system replaces traditional mechanical demographic classification methods with automated processing units that use text analysis and pattern recognition. These units analyze user-generated content, social media posts, and online behavior data to automatically infer demographic characteristics and user intent, substituting manual or rule-based systems with intelligent automated analysis for more accurate targeting

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent changes the parameters used for advertising targeting from basic online behavior metrics to comprehensive demographic profiles including explicit demographics (age, gender, location) and implicit demographics (interests, preferences, lifestyle attributes) extracted from text analysis. This parameter transformation enables more precise user targeting while maintaining broad advertising reach

Inventive Principle:

Principle #35Parameter changes

3Measurement precision

If the system analyzes user behavior and collects data from multiple sources, then the ability to detect implicit demographic information improves, but the complexity of the system increases

Engineering Contradiction:

Improvedetection accuracy of implicit informationVSAvoidsystem complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system segments the complex task of demographic detection into distinct functional components: data collection from multiple sources, text processing and analysis, explicit demographic extraction, implicit demographic inference, and result delivery. This segmentation allows each component to be optimized independently while working together to achieve high detection accuracy without overwhelming system complexity

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The processing units are designed as multi-functional components that can collect data from various sources (social networks, web pages, mobile devices), analyze different types of content (text, posts, comments), extract both explicit and implicit demographics, and deliver results to multiple destinations. This universality reduces overall system complexity by using versatile components rather than specialized ones for each function

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS9946775B2System and methods thereof for detection of user demographic information

Publication Date: 2018.04.17 INNOVID INC

AI summary

A system and method for detecting implicit information related to a user are disclosed. The system comprises a network interface for accessing one or more data sources; a plurality of agents for collecting textual content from the one or more data sources; a processing unit for extracting explicit demographic information related to the user and generating implicit demographic information related to the user respective of the explicit demographic information; and a data warehouse connected to the processing unit for storing the generated implicit demographic information.