Overlay Interface for Streaming Video Personalization
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Solution Overview
Problem
Current entertainment platforms fail to deliver personalized and non-disruptive content recommendations, disrupting the user experience with intermittent advertisements, and lacking in customization and new content discovery.
Innovation Solution
A system that uses user profiles, historical data, and machine learning engines to provide hyper-personalized and interactive recommendations, allowing seamless integration of streaming video with non-intrusive product information and e-commerce options directly on the viewing screen, using AI and ML to curate and recommend products based on user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If traditional entertainment platforms deliver content with intermittent commercial breaks, then advertising revenue is generated, but user experience is disrupted and personalized recommendations are not provided
Solution Approach 1:
The patent extracts the advertising function from traditional interruptive commercial breaks and relocates it to an overlay interface that displays personalized product recommendations during content playback. This separates the advertising delivery mechanism from the content stream, allowing both to coexist without mutual disruption.
Solution Approach 2:
The patent introduces a new spatial dimension by implementing an overlay interface that layers advertising content on top of the video stream. This dimensional separation allows users to view recommendations without leaving the content interface, transforming the traditional linear content-delivery model into a multi-layered experience.
2Adaptability or versatility
If entertainment platforms provide generic content delivery, then system complexity is reduced, but user personalization and content discovery capabilities are insufficient
Solution Approach 1:
The patent implements preliminary action by pre-collecting user profile information, viewing history, and preference data before content delivery. This advance data gathering enables the system to generate personalized recommendations without adding complexity to the real-time content streaming process.
Solution Approach 2:
The patent establishes feedback loops where user interactions with recommendations (clicks, purchases, skips) are continuously fed back into the machine learning models. This feedback mechanism refines personalization algorithms over time, improving adaptability while the automated nature of the loop prevents exponential complexity growth.
3Ease of operation
If users are redirected to separate interfaces for product information and purchases, then advertising content can be displayed, but user experience is disrupted and interaction convenience is reduced
Solution Approach 1:
The patent merges the content viewing interface and the shopping interface into a single unified overlay system. Users can view product information, access detailed pages, and complete purchases without navigating away from the video content, effectively combining two previously separate functions into one integrated experience.
Solution Approach 2:
The overlay interface acts as an intermediary layer between the video content and the e-commerce functionality. This mediator provides seamless access to product information and purchase options while maintaining the video stream as the primary focus, eliminating the need for context switching.
Data Source
AI summary
Systems and methods for user personalization and recommendation schemes that are matched to a user profile and provide a highly personalized, interactive experience for the user on an entertainment platform are disclosed. In one aspect of the invention, the highly personalized and interactive experience is facilitated through information from the user profile comprised of user-inputted information, historical data, and outputs from machine learning engines. In another aspect of the invention, the system is capable of outputting the highly-personalized and interactive recommendations onto a viewing screen while media content is continuously streaming on the same viewing screen.