Time-Dependent Search Result Ranking for Media Content
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Solution Overview
Problem
Existing content search systems fail to effectively rank search results based on relevance, particularly for linear media content and on-demand media, considering factors like time sensitivity and genre, which affects user experience in finding timely and interesting content.
Innovation Solution
A computing device ranks search results by matching criteria, with additional weighting based on the time remaining until the end of linear media content and the availability time of on-demand content, adjusting rankings to prioritize time-sensitive content like live sporting events and de-prioritize content nearing its end, such as movies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If search results are ranked based on basic matching criteria only, then the ranking process is simple and fast, but the relevance and time-sensitivity of results deteriorates
Solution Approach 1:
The patent applies dynamics by making the ranking criteria adaptive and time-dependent. The system dynamically adjusts search result rankings based on temporal factors such as time remaining until content end-time, transforming a static ranking process into a dynamic one that responds to changing time conditions. This resolves the contradiction by incorporating temporal dimensions into the ranking algorithm without requiring complete system redesign.
Solution Approach 2:
The patent changes the parameters used in ranking from static matching criteria to include time-sensitive parameters. Specifically, it introduces parameters like 'time remaining until end-time' and 'availability time' as additional ranking factors. This allows the system to improve relevance accuracy by considering temporal context while maintaining the原有的 matching criteria, thus resolving the contradiction between accuracy and complexity.
2Reliability
If time-based weighting is applied to all search results, then time-sensitive content is prioritized, but irrelevant content may be inappropriately promoted
Solution Approach 1:
The patent applies local quality by differentiating time-based weighting strategies according to content type. Instead of uniformly applying time-weighting to all search results, the system applies different weighting rules to linear media content versus on-demand media content. For linear content, it considers time remaining until end-time, while for on-demand content, it considers availability time. This selective application maintains reliability for time-sensitive content while preserving relevance information through type-specific handling.
Solution Approach 2:
The patent segments the search results into different categories (linear media content and on-demand media content) and applies different ranking strategies to each segment. This segmentation allows the system to apply time-based weighting appropriately to each category without compromising the relevance of other content types, thus resolving the contradiction between reliability and information loss.
3Ease of operation
If generic ranking criteria are used, then the system is easy to implement, but user experience deteriorates due to lack of content-specific optimization
Solution Approach 1:
The patent achieves universality by creating a multi-functional ranking system that handles different content types through a unified framework. The system uses a common time-based weighting mechanism that adapts to different content types (linear media, on-demand media) through parameter adjustments rather than separate implementation paths. This maintains ease of implementation while achieving content-specific optimization through flexible parameter configuration.
Data Source
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AI summary
Methods, systems, computer readable media, and apparatuses for ranking search results are presented. According to one or more aspects, two or more search results may be ranked based on the extent to which each search result matches at least one search criterion and based on the amount of time that content corresponding to each search result will remain available. Content with less availability time remaining may be ranked higher than content with more availability time remaining. The ranking may also be based on a genre of the content being ranked, and availability may be weighted differently in ranking content of different genres.