Persona Objects for Content Retrieval in CMS
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Solution Overview
Problem
Users face difficulties in identifying and accessing relevant content from large content repositories due to the vast amount of information available.
Innovation Solution
The system creates and utilizes persona objects based on user action tracking entries, which are then used to modify query requests and rank retrieved objects, ensuring more relevant content is provided to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If users search through large content repositories, then more content is available, but it becomes difficult to identify and obtain relevant content
Solution Approach 1:
The patent introduces persona objects as intermediaries between users and content repositories. These persona objects aggregate and represent user preferences, behaviors, and characteristics, serving as a mediator that translates user needs into targeted content retrieval without requiring users to manually search through vast content volumes
Solution Approach 2:
The system implements feedback mechanisms by tracking user actions and continuously updating persona objects based on observed user behaviors. This feedback loop enables the system to learn from user interactions and progressively improve content recommendation accuracy, making relevant content identification easier over time
2Quantity of substance
If the system stores significant amounts of content, then content availability increases, but content retrieval efficiency decreases
Solution Approach 1:
The patent segments the content retrieval process into multiple components: query modification based on persona attributes, ranked object generation, and selective presentation. This segmentation allows the system to efficiently handle large content repositories by breaking down the complex retrieval task into manageable steps that leverage user-specific persona information
Solution Approach 2:
The system dynamically changes retrieval parameters by modifying query requests based on persona object attributes. Instead of using fixed retrieval parameters, the system adapts search criteria, ranking weights, and filtering conditions according to user-specific persona data, thereby improving retrieval efficiency for stored content
Data Source
AI summary
A method and system for servicing requests, including receiving, from a client, a first request to perform an action, obtaining a first persona object for a user associated with the first request, servicing the first request using the first persona object to obtain a result, and providing the result to the client.


