Keyword-Based Media Content Subset Segmentation
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Solution Overview
Problem
Existing methods for presenting related media content items to users often result in lengthy lists, where only a small number of items are of interest, making it difficult for users to find relevant content.
Innovation Solution
A method and system that utilize keyword extraction and scoring based on term frequency and inverse document frequency to categorize related media content items into subsets, allowing for more targeted and relevant content presentation using relatedness indicators.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a lengthy list of related media content items is presented, then the completeness of search results is improved, but the ease of operation deteriorates as users have difficulty finding relevant content
Solution Approach 1:
The patent segments the lengthy list of related media content items into multiple subsets based on extracted keywords. Each subset contains media content items associated with a specific keyword, allowing users to navigate through organized groups rather than a single lengthy list. This segmentation reduces the cognitive load and improves ease of operation while maintaining completeness.
Solution Approach 2:
The patent extracts keywords from media content items and uses these extracted keywords to organize and filter the search results. By taking out key information (keywords) from the full list of related items, the system creates manageable subsets that highlight the most relevant content, thereby improving user ability to find what they are looking for.
2Loss of information
If all related media content items are presented, then the information completeness is improved, but the loss of time increases as users spend more time reviewing lengthy lists
Solution Approach 1:
The patent applies local quality by organizing media content items into subsets based on their associated keywords. Each subset has a specific thematic quality (e.g., action movies, comedies) making it easier for users to quickly identify and access relevant content. This local organization maintains information completeness while significantly reducing the time needed to review the entire list.
Solution Approach 2:
The system performs preliminary action by pre-organizing related media content items into keyword-based subsets before the user needs to review them. This pre-sorting and categorization is done in advance, so when users access the search results, the content is already structured in a time-efficient manner, reducing their review time while maintaining completeness.
3Device complexity
If a simple list of related media content items is presented, then the device complexity is reduced, but the adaptability deteriorates as the system cannot personalize based on user interests
Solution Approach 1:
The patent changes the parameter of organization from a simple flat list to a structured multi-level hierarchy based on keywords. This parameter change enables the system to adapt and personalize results based on extracted keyword information while maintaining a relatively simple overall structure. The system dynamically adjusts how content is presented based on the extracted keywords from media items.
Data Source
AI summary
Methods, systems, and media for presenting related media content items are provided. In accordance with some implementations, a method for providing media guidance is provided, the method comprising: receiving, from a user device, a search query for a media content item; determining a plurality of media content items that are related to the media content item; determining a plurality of keywords associated with each of the plurality of related media content items; generating a document containing the plurality of keywords that are associated with each of the plurality of related media content items; calculating a score for each of the plurality of keywords in the document based on a term frequency and an inverse document frequency for each of the plurality of keywords; selecting a first keyword from a list of the plurality of keywords based at least in part on the calculated score; determining a first subset of related media content items, wherein each media content item in the first subset is associated with the selected first keyword; removing the selected first keyword from the list of the plurality of keywords and selecting a second keyword from the list of the plurality of keywords based at least in part on the calculated score; determining a second subset of related media content items, wherein each media content item in the second subset is associated with the selected second keyword; and causing the first subset and the second subset of related media content items to be presented along with a relatedness indicator, wherein the relatedness indicator is generated using the first keyword for the first subset and the second keyword for the second subset.