Popularity-Ranked Media Search System
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Solution Overview
Problem
Existing television media content search systems rely on text-string matching, which is limited and often results in unwanted, too many, or no search results, leading to viewer dissatisfaction due to cumbersome search processes and slow response times.
Innovation Solution
Implementing a system where television media content is ranked based on popularity, using a tracking module to gather data on viewer interactions such as programming choices, searches, recordings, and information requests, to generate a popularity rating and display the most likely viewer choices in an ordered list.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If text-string matching is used for search, then the search process is simple to implement, but the search results are limited and often unwanted or too many
Solution Approach 1:
The patent changes the search parameter from simple text-string matching to a composite ranking system that incorporates multiple factors including popularity ratings, view counts, and relevance scores. This transforms the search mechanism from a single-criterion filter to a multi-dimensional evaluation system, resolving the contradiction by maintaining implementation simplicity while dramatically improving result accuracy.
Solution Approach 2:
The system implements feedback loops where search results are ranked based on popularity data collected from viewer behavior. The ranking algorithm continuously refines results based on feedback about what content viewers actually watch and select, thereby improving search accuracy while keeping the interface simple.
2Quantity of substance
If alphabetical listing is used for search results, then all matching programs are returned, but the desired program is buried in a long list
Solution Approach 1:
The system performs preliminary sorting and ranking of search results based on popularity and relevance before presenting them to the viewer. By pre-organizing results in order of likelihood to be desired, the system maintains comprehensive result sets while eliminating the time loss associated with searching through alphabetical lists.
Solution Approach 2:
The search results are dynamically ordered based on real-time popularity data and viewer behavior patterns. Rather than a static alphabetical listing, the results adapt and reorganize themselves based on current viewing trends, ensuring that the most desired content appears at the top while maintaining the full set of matching results.
3Device complexity
If traditional search is used, then the system is fast to implement, but slow response times increase viewer frustration
Solution Approach 1:
The system pre-calculates and caches popularity ratings, view counts, and relevance metrics for all content items. This preliminary processing allows the search function to quickly retrieve and rank results without performing complex calculations in real-time, thereby reducing response time while maintaining a relatively simple system structure.
Solution Approach 2:
The patent combines multiple data sources including popularity ratings, view counts, and relevance information into a single integrated ranking system. By merging these elements into one cohesive search result generation process, the system achieves fast response times without requiring multiple separate complex systems.
4Ease of operation
If text-string matching is used, then the search is easy to perform, but misspelling search terms returns unwanted results or no results
Solution Approach 1:
The system changes the search matching parameter from exact text-string matching to a more flexible algorithm that incorporates fuzzy matching, phonetic matching, and popularity-based suggestions. This allows viewers to enter search terms easily without precise spelling while still receiving relevant results, resolving the contradiction between ease of operation and result reliability.
Solution Approach 2:
The patent introduces an intermediary ranking layer that sits between the search input and the final results. This intermediary process uses popularity data and relevance algorithms to mediate between potentially misspelled search terms and the actual content database, ensuring that relevant results are returned even when the search term is not exactly correct.
Data Source
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AI summary
Media content search results ranked by popularity is described. In embodiment(s), a search request for television media content can be initiated by a viewer, and television media content that is relevant to the search request can be identified. The relevant television media content can then be ranked based on a popularity rating such that the relevant television media content can be displayed in an ordered list that is ordered by popularity rankings.