Personalized Notification System Using Data Tag Extraction

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Solution Overview

Problem

Existing notification systems have low call-to-action rates due to irrelevant content, which diminishes user engagement and value, especially in mobile applications and promotional emails.

Innovation Solution

A computer-implemented method and system that receives user data, extracts data tags, associates them with messages, finds relevant information in the network, generates personalized notifications, and outputs them to the user interface, thereby increasing content relevance and user engagement.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If notifications contain generic content (brand logos, promotional emails), then the notification system can be simple to operate, but user engagement and call-to-action rates remain low due to irrelevance

Engineering Contradiction:

Improvenotification system simplicityVSAvoiduser engagement and call-to-action rate

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system automatically extracts data tags from user messages and web browser history without requiring manual input or configuration. The personalization is performed self-service by the system itself, analyzing user data and generating relevant notifications autonomously, thus maintaining operational simplicity while significantly improving user engagement

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system changes the content parameters of notifications by extracting and utilizing specific data tags from user messages and browsing history. This transforms generic notifications into personalized content by modifying the information parameters based on actual user behavior and preferences, thereby improving relevance and call-to-action rates

Inventive Principle:

Principle #35Parameter changes

2Ease of manufacture

If notifications include irrelevant content (brand logos, promotional material), then the notification system can be easily implemented, but content relevance decreases and user value is diminished

Engineering Contradiction:

Improvenotification system implementationVSAvoidcontent relevance

Core Design Contradiction:

Ease of manufactureVSLoss of information

Solution Approach 1:

The system extracts meaningful data tags from user messages and web browser history, separating the relevant information from the noise. By taking out only the pertinent data points (data tags) and using those for notification generation, the system maintains ease of implementation while eliminating irrelevant content and improving information relevance

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The system introduces an intermediary processing layer that analyzes user data (messages and browsing history) and transforms it into personalized notification content. This intermediary step filters and processes raw data into relevant information, preventing loss of meaningful content while maintaining system simplicity

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS20250039118A1Method and system for serving personalized content to enhance user experience

Publication Date: 2025.01.30 YAHOO ASSETS LLC

AI summary

A method for presenting personalized content to a user includes receiving user data corresponding to a user having a user profile, the user data including at least one or more messages in a user mailbox and a user web browser history within a network, extracting one or more data tags from the received user data, associated at least one data tag with a message, finding information in the network that corresponds to the associated data tag, generating a notification for the user, the notification including the found information in the network, and outputting the generated notification to a user interface of a device of the user.