Interactive Media Guidance Relevancy Filtering
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Solution Overview
Problem
Modern media guidance systems face challenges in providing users with efficiently relevant search results due to the overwhelming number of media content options, where many search results technically meet the criteria but are not what the user is looking for.
Innovation Solution
An interactive media guidance application determines and displays relevant search results based on personalization data and user preferences, using techniques such as relevancy thresholds, user behavior monitoring, and social recommendations to prioritize and visually distinguish relevant content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the guidance application displays all search results that meet the user's criteria, then the completeness of search results is improved, but the user is overwhelmed by the large number of results and cannot efficiently find what they are looking for
Solution Approach 1:
The patent extracts and displays only the most relevant search results based on personalization data and user preferences. The system identifies and separates highly relevant results from the complete result set, displaying a prioritized subset that eliminates overwhelming quantity while maintaining search completeness for users who need it.
Solution Approach 2:
The patent applies different levels of relevance to different search results, with the most relevant results receiving prominent display positions and visual emphasis. This local differentiation in quality and presentation helps users quickly identify and access their desired content without being overwhelmed by the total number of results.
2Loss of information
If the guidance application provides detailed search results from multiple content sources, then the comprehensiveness of information is improved, but the complexity of processing and presenting the information increases
Solution Approach 1:
The patent introduces personalization data and user preference profiles as intermediaries between the raw search results and the displayed information. This intermediary layer filters, ranks, and prioritizes results based on user-specific criteria, reducing the complexity of information processing while maintaining comprehensive coverage of relevant content.
Solution Approach 2:
The patent changes the parameters used to evaluate and present search results by incorporating user-specific weights and preferences. Instead of uniform treatment of all results, the system dynamically adjusts relevance parameters based on user behavior patterns and explicit preferences, simplifying the presentation while preserving information comprehensiveness.
3Measurement precision
If the guidance application uses strict relevancy thresholds to filter results, then the precision of relevant results is improved, but the number of displayed results decreases below the minimum needed
Solution Approach 1:
The patent implements dynamic relevancy thresholds that adapt based on user feedback and interaction patterns. The system starts with higher precision thresholds to ensure quality results, then dynamically adjusts the threshold downward when the result count approaches minimum levels, maintaining both precision and adequate result quantity through continuous adaptation.
Solution Approach 2:
The patent incorporates feedback mechanisms where user interactions with search results inform subsequent threshold adjustments. When users engage with lower-ranked results or indicate dissatisfaction, the system learns from this feedback and adjusts relevancy thresholds to maintain an optimal balance between precision and result quantity.
Data Source
AI summary
Systems and methods for presenting search results based on relevancy in an interactive media guidance application are disclosed. After performing a user-initiated or automatic search for media content, the interactive media guidance application determines which of the hits are most relevant to the user. The guidance application then displays, or visually identifies, the relevant items. Some embodiments employ using different display arrangements based on the number of relevant items. Some embodiments display the relevant items in recommendation lists or hot lists.