Multimedia Content Integration in User Communications
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Solution Overview
Problem
Existing technologies do not effectively enable users to seamlessly integrate relevant content items into their communications about multimedia presentations, such as videos or TV programs, while they are being consumed, by linking comments to specific points or ranges within the content.
Innovation Solution
A system that processes user communications and selects relevant content items based on media analysis, user profiles, and context, allowing users to include these items directly into their comments, which are then displayed and can be shared with others.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users manually search for and select content items to include in their communications, then the relevance and quality of content can be improved, but the time and effort required increases significantly
Solution Approach 1:
The system performs preliminary actions by automatically analyzing the multimedia presentation content, extracting key information, and pre-selecting relevant content items before the user needs to communicate. This preparation work is done in advance, so when the user wants to comment or share, the relevant content is already ready and waiting to be included, eliminating the need for manual searching and selection during the communication process.
Solution Approach 2:
The system enables self-service by automatically performing the content selection and integration process without requiring user intervention. The system monitors the multimedia presentation, identifies relevant content items, and automatically includes them in the user's communication draft, allowing the user to simply review and send without manual content gathering or formatting efforts.
2Ease of operation
If the system automatically selects and includes content items in user communications, then the ease of operation is improved, but the precision and relevance of selected content may deteriorate
Solution Approach 1:
The system implements feedback mechanisms where user interactions with automatically selected content items (such as selections, rejections, or modifications) are analyzed and used to refine future content selection. The system learns from user behavior patterns, communication contexts, and presentation content characteristics to continuously improve the accuracy and relevance of automatically selected content items, ensuring that ease of operation does not compromise precision.
3Loss of information
If multiple content items are integrated into a single communication, then the comprehensiveness of the communication is improved, but the complexity of the communication structure increases
Solution Approach 1:
The system applies segmentation by dividing multiple content items into logically organized groups or sections within the communication. Instead of presenting a chaotic collection of content items, the system segments them by type, relevance, or temporal relationship to the multimedia presentation, creating a structured and readable communication that maintains completeness while reducing perceived complexity through organized presentation.
Data Source
AI summary
Disclosed are methods and apparatus for providing one or more content items for display to a user of an end-user device. The user provides a comment in relation to a multimedia presentation. Based on this comment, and on content information relating to the multimedia presentation, a set of content items is then selected. This set of elements is provided for display to the user. The user may include any of the displayed content items in his comment.