Personalized Content System Using AI Query Generation
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Solution Overview
Problem
Existing personalized content systems for OTT devices struggle to effectively present the most relevant personalized content to users, particularly in making accurate content-based personalization that users are likely to interact with.
Innovation Solution
A system that utilizes a user's profile, recognized features of current content, and AI-generated queries to a related content database to generate and present personalized content, enhancing user engagement by showing the most relevant in-channel content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If personalized content is generated using user profile and AI queries, then user engagement is improved, but system complexity increases
Solution Approach 1:
The patent introduces an intermediary content analysis system that bridges user profiles and content databases. This intermediary layer automatically analyzes content features, generates relevant queries, and retrieves personalized content without requiring complex direct interactions between user data and content repositories, thereby improving engagement while managing system complexity
Solution Approach 2:
The system performs preliminary analysis of content features and pre-generates queries based on user profiles before content delivery. By preparing personalized content recommendations in advance using AI-generated queries and content feature analysis, the system reduces real-time processing complexity while maintaining high user engagement
2Measurement precision
If relevant content features are analyzed, then personalization accuracy is improved, but processing time increases
Solution Approach 1:
The patent applies partial action by selectively analyzing only the most relevant content features rather than processing all possible attributes. The system identifies and focuses on key features that most significantly impact personalization accuracy, thereby reducing processing time while maintaining high precision in content recommendations
Data Source
AI summary
Provided herein are system, apparatus, article of manufacture, method and/or computer program product, and/or combinations and sub-combinations thereof, for utilizing a personalized content system to enhance an effectiveness of content being shown to the user via personalized content associated with the content. This method allows the platform to present the most relevant personalized in-channel content to the users, in a user interface, which then correspondingly helps drive user interest. This method scans content to identify objects of interest located within the content, generates a query based on the identified objects of interest and a user profile, searches content sources for related content, associates the related content with an occurrence of a corresponding identified object of interest within the content and communicates, to the user device, the content and the related content for instantiation through a user interface of the user device.