Messaging System Content Analysis for Targeted Information Delivery
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Solution Overview
Problem
Users face challenges in efficiently finding relevant information across vast communication networks, such as the Internet, which consumes time and results in less than desired outcomes, as existing systems lack effective methods to present information responsive to users' timely interests.
Innovation Solution
A messaging system that analyzes message content to identify matching information entities and presents relevant advertisements or information items dynamically, reducing user effort by integrating targeted content directly into the messaging interface based on identified categories and patterns within the message content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If users manually search for relevant information across communication networks, then they can find information, but it consumes excessive time and results in less than desired outcomes
Solution Approach 1:
The system performs preliminary analysis of message content to identify information entities, categories, and patterns before the user needs the information. By pre-processing and understanding the context of communications, the system prepares targeted information and advertisements in advance, eliminating the need for users to manually search and significantly reducing information retrieval time
Solution Approach 2:
The system automatically analyzes message content, identifies relevant information entities, and presents targeted information without requiring user intervention. The messaging system self-services by integrating content analysis and information delivery functions, allowing users to receive relevant information passively rather than actively searching for it
2Ease of operation
If the system presents targeted information based on message content, then user experience is enhanced with timely relevant information, but the system complexity increases
Solution Approach 1:
The messaging system integrates multiple functions into a single platform: message transmission, content analysis, information entity identification, category classification, and targeted information delivery. By making the system universal and multi-functional, the patent avoids the need for separate specialized systems, managing complexity through consolidation rather than proliferation of components
Solution Approach 2:
The system introduces an intermediary content analysis layer between message transmission and information delivery. This intermediary component automatically processes message content, identifies information entities, and bridges the gap between user communications and relevant information, simplifying the overall architecture by creating a dedicated mediation layer rather than complex direct connections
Data Source
AI summary
A method of presenting information to a party through a messaging application is described. Responsive to receipt of a communication from a party (e.g., the first user), a reply is sent. The communication and the reply is presented in an interface to the sender. The messaging system determines matching content that is relevant to one or both of the communication and the reply and determines a quality of the match. Determining the quality of the match may include determining a score for an advertisement based on the advertisement's responsiveness to content identified in the reply message that was sent. Based on a determination that the quality is above a threshold, the matching content is presented along with the communication and the reply.