Dynamic Media Annotation System for User Profile Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Media platforms face challenges in effectively capturing user interest with static title representations of media content, as they may not convey relevant information or topics of interest to users, leading to overlooked content.
Innovation Solution
A system generates dynamic annotations by analyzing user profile information and media content metadata to create relevant, interest-based annotations that are linked to media content items, ensuring that only relevant information is displayed to users, enhancing user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static title representations are used for media content, then the device complexity is low, but the user engagement is insufficient because titles do not convey relevant information or topics of interest to users
Solution Approach 1:
The patent transforms static media titles into dynamic annotations that adapt to user interests. The system generates multiple annotation templates from a single title and dynamically selects and displays the most relevant annotation based on user profile information, making the content representation flexible and adaptive rather than fixed
Solution Approach 2:
The patent segments a single media title into multiple annotation templates, each capturing different aspects or structures of the original title. This segmentation allows the system to present different portions of the title information based on user preferences, effectively dividing one piece of information into multiple customizable representations
2Loss of information
If multiple annotations are generated for each media content item, then the relevance to user interests improves, but the loss of time for annotation generation and retrieval increases
Solution Approach 1:
The patent performs preliminary action by pre-generating multiple annotation templates from each media title in advance and storing them in a database. This preparation work is done before user interaction, so when a user views content, the system only needs to retrieve and select from pre-created annotations rather than generating them in real-time, significantly reducing processing time
Solution Approach 2:
The patent creates multiple copies of annotation templates from a single media title. Instead of generating unique annotations on demand, the system creates template copies that can be quickly retrieved and selected based on user profile matching, reducing the computational burden during user interaction
3Loss of information
If dynamic annotations are generated based on user profile information, then the information relevance to users increases, but the device complexity for processing and matching user data increases
Solution Approach 1:
The patent changes parameters by transforming user profile information into matching criteria for annotation selection. The system converts complex user data into simplified matching parameters that can be efficiently compared against annotation templates, reducing the complexity of data processing while maintaining high relevance
Data Source
AI summary
A system for managing media content annotations is configured to generate annotations having a format similar to a title and tailored to a user profile. The system identifies a media content item and identifies a user entity. The system selects from among a plurality of annotations linked to the media content item and stored in metadata. For example, the system may generate more than one annotation, generate links between each annotation and user profile information, and then select among the annotations for the most appropriate annotation for a given user. The annotation may include keywords or entities that are included in, linked to, or otherwise associated with the user profile information. The system outputs, or generates for output, a display that includes a representation of the media content item and the selected annotation.