Multimedia Asset Ensemble Recommendation System
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Solution Overview
Problem
Content suggestion systems fail to effectively present mixed-multimedia assets from content providers to users in a meaningful and engaging way, lacking mechanisms to showcase diverse assets and appeal to multiple sensory modes.
Innovation Solution
The system automatically selects and pairs a collection of multimedia assets, including text, images, videos, and audio, based on similarity and theme, to create an ensemble that appeals to multiple human senses, using a similarity matrix and ensemble construction methods to optimize presentation layout and user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If content suggestion systems use traditional keyword or tag-based matching to select content, then the system can present content similar in type to what the user is accessing, but the system fails to effectively present mixed-multimedia assets from content providers to users in a meaningful and engaging way
Solution Approach 1:
The patent combines multiple types of multimedia assets (video, audio, text, images) into a unified recommendation ensemble that is presented together to the user. The system merges heterogeneous content types from different content providers into a cohesive presentation format, allowing diverse assets to be showcased simultaneously in an engaging manner while maintaining ease of user interaction through a single unified interface.
2Quantity of substance
If the system presents suggested content in a list format, then the system can display multiple content options, but the system fails to present mixed-multimedia assets to users in meaningful and engaging ways
Solution Approach 1:
The patent transitions from a one-dimensional list format to a multi-dimensional grid layout that organizes recommended content in rows and columns. This dimensional change allows the system to display multiple multimedia assets simultaneously in a visually engaging manner, preserving the quantity of content options while significantly improving user engagement through a more intuitive and aesthetically pleasing presentation structure.
3Stability of the object's composition
If content providers maintain separate asset libraries for different content types, then the system can manage content organization, but the system lacks a mechanism for getting assets from mixed-multimedia asset libraries in front of users
Solution Approach 1:
The patent implements a universal recommendation engine that can handle and process multiple types of multimedia assets (video, audio, text, images) from different content providers through a single unified system. The ensemble generation mechanism is designed to work with heterogeneous content types, allowing the system to maintain separate asset libraries for organization while simultaneously delivering mixed-multimedia assets to users through a common interface and recommendation algorithm.
Data Source
AI summary
An asset to be displayed during an online engagement is identified. A mixture of multimedia assets that include any combination of: audio, video, text, or image, are selected to be displayed simultaneously with the asset. Each multimedia asset selected based at least on a relationship between the multimedia asset and the asset to be displayed during the online engagement. A presentation screen is created that includes the selected multimedia assets and the asset to be displayed during the online engagement based on display parameters of a receiving device.