Context-Aware Media Content Selection via Destination Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional systems for searching and categorizing media content items lack contextual awareness regarding the intended destination of the media content, leading to inefficient and irrelevant search results.
Innovation Solution
A computer-implemented method and system that receive data describing a media content item's destination, select media content items based on this data, and provide them for display in a dynamic keyboard interface, ensuring contextually relevant results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional searching approaches are used without contextual awareness, then the system is simple and requires minimal resources, but the search results are irrelevant and lack contextual precision
Solution Approach 1:
The system performs preliminary analysis of the destination context before executing the search. By receiving data that describes the destination for media content items and using this information to guide the search process, the system prepares contextual parameters in advance, ensuring that search results are relevant to the intended destination without requiring complex post-processing
Solution Approach 2:
The patent introduces an intermediary layer that bridges the search query and the destination. This intermediary processes the destination data and mediates between the user's search intent and the media content database, enabling contextual awareness while maintaining system modularity and avoiding excessive complexity
2Productivity
If comprehensive media content items are provided without destination context, then the system covers all possible content, but computational resources are wasted on irrelevant results
Solution Approach 1:
The system applies local quality by tailoring the search results to the specific destination context. Instead of providing uniform comprehensive results for all queries, the system adjusts the content selection based on destination characteristics, delivering locally optimized results that match the intended use context and reducing computational waste on irrelevant content
Solution Approach 2:
The patent changes search parameters based on destination data. By dynamically adjusting search criteria, filters, and weighting factors according to the destination context, the system optimizes resource utilization by focusing computational effort on retrieving only the most relevant media content items for the specific destination
3Extent of automation
If manual intervention is required for categorization, then the system provides accurate categorization, but the operation becomes time-consuming and less automated
Solution Approach 1:
The system implements self-service categorization by automatically analyzing destination data and autonomously selecting appropriate media content items. The system serves itself by using destination context to automatically organize and present relevant content without requiring manual intervention, thereby achieving both high automation and time efficiency
Data Source
AI summary
Aspects of the present disclosure are directed to a computer-implemented method including receiving, by a user computing device, data that describes a destination for the media content item. Example destinations can include a location of a recipient of message including the media content item and a digital location (e.g., website, social networking page, etc.). The method can include selecting, by a computing system comprising the user computing device, one or more media content items based on the data that describes the destination for the media content item. Media content items that are more relevant and/or appropriate can be selected by considering the destination of the media content item. The selected media content item(s) can be provided for display by the user computing device in a dynamic keyboard interface.