Vocabulary Size Analysis for Content Personalization

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Solution Overview

Problem

Conventional content personalization techniques fail to account for a user's vocabulary size, limiting the effectiveness of personalized content recommendations.

Innovation Solution

A system and method that identify and measure a user's working vocabulary size from consumed and output text, using this metric to personalize content, such as advertisements, by correlating vocabulary size with relevant content categories, thereby increasing content relevance and recommendation success rates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If conventional content personalization techniques are used, then content can be personalized based on basic user information, but the personalization effectiveness is limited due to not accounting for vocabulary size

Engineering Contradiction:

Improvepersonalization effectivenessVSAvoiduser characteristic information

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system performs preliminary analysis of user-generated text content to determine vocabulary size before content personalization. By pre-processing user text data and extracting vocabulary metrics, the system prepares user characteristic information in advance, which is then used to enhance personalization effectiveness without losing important user characteristics.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces vocabulary size as an intermediary metric that bridges basic user information and content personalization. This intermediate characteristic is derived from analyzing user text output and serves as a mediator to improve the matching between content and user cognitive abilities, thereby enhancing personalization effectiveness while preserving user characteristic information.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Manufacturing precision

If vocabulary size analysis is added to content personalization, then content relevance improves, but system complexity increases

Engineering Contradiction:

Improvecontent relevanceVSAvoidsystem complexity

Core Design Contradiction:

Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system extracts only the essential vocabulary size metric from user text content, rather than analyzing all possible linguistic features. By taking out just the key characteristic (vocabulary size) needed for personalization, the system achieves improved content relevance without the complexity of comprehensive text analysis.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent replaces complex manual or rule-based content personalization with an automated system that uses vocabulary size metrics. This substitution of mechanical/personal judgment with an automated computational approach improves content relevance through consistent application of vocabulary-based matching while managing system complexity through algorithmic processing.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

Data Source

PatentUS9208509B1System, method, and computer program for personalizing content for a user based on a size of a working vocabulary of the user

Publication Date: 2015.12.08 AMDOCS DEV LTD

AI summary

A system, method, and computer program product are provided for personalizing content for a user based on a size of a working vocabulary of the user. In use, text is identified from content that is one of consumed and output by a user. Additionally, a size of a working vocabulary of the user is identified using the text. Further, the content is personalized based on the size of the working vocabulary of the user.