Comment-Derived Interactable Elements for Media Asset Search
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Solution Overview
Problem
Existing graphical user interfaces for media assets struggle with generating relevant recommendations based on user interactions with media assets, leading to cluttered interfaces and increased computational load due to inefficient use of comment data.
Innovation Solution
Analyze text comments for media assets to identify interactable elements, such as hyperlinks, based on metadata, popularity, and user interactions, and integrate these elements into the interface to provide targeted recommendations and search options.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If recommendations are provided based on metadata and popularity only, then the recommendation generation is simple, but the recommendations do not reflect user interactions with media assets such as comments
Solution Approach 1:
The patent introduces an intermediary processing layer that analyzes text comments to extract entities and generates search results, which then serve as interactable elements. This intermediary process bridges the gap between simple metadata-based recommendations and complex user interaction analysis, allowing the system to incorporate comment data without requiring complete reprocessing of all user interactions.
Solution Approach 2:
The system allows user-generated comments to automatically contribute to recommendation generation. By analyzing entities mentioned in comments and making them searchable, the system self-updates its recommendation capabilities based on user interactions, reducing the need for manual curation or complex centralized processing of all user behavior data.
2Productivity
If all available media are provided as recommendations, then no additional searching is required, but this generates and displays no meaningful recommendations
Solution Approach 1:
The system performs preliminary analysis of comments to extract entities and pre-generates search results that can be immediately displayed as interactable elements. This preliminary processing ensures that when users interact with the media player, relevant search results are already prepared and can be displayed without requiring additional search time.
3Loss of information
If text comments are analyzed to generate interactable elements, then user interaction data is effectively utilized, but the processing load on the media server increases
Solution Approach 1:
The patent extracts only the essential information from comments - specifically entities that can be converted into search results. Rather than processing entire comment texts or all user interaction data, the system selectively extracts meaningful entities and converts them into interactable search elements, significantly reducing the processing load while maintaining effective utilization of comment data.
4Adaptability or versatility
If the interface includes more recommendation options and search results, then user choices increase, but the interface becomes cluttered
Solution Approach 1:
The patent segments the recommendation interface by separating traditional metadata-based recommendations from comment-based search results. These are presented as distinct interactable elements within the media player interface, allowing users to access different types of content suggestions without mixing them in a cluttered single list. The segmented presentation maintains variety while preserving interface clarity.
Data Source
AI summary
Systems and methods for improving displays of media assets are disclosed herein. In an embodiment, a system receives a plurality of text comments from a plurality of devices to which a media asset was transmitted. The system analyzes the comments to identify text strings within the text comments. The system generates interactable elements from the text strings in the text comments, such that an interaction with the text string causes display of identifiers of media assets corresponding to the text string.