Interactive Media Guidance Relevancy Filtering
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Solution Overview
Problem
Modern content delivery systems face challenges in guiding users efficiently to desired media due to overwhelming search results, with many hits not meeting the user's intended search criteria, leading to irrelevant content.
Innovation Solution
An interactive media guidance application determines relevant search results based on personalization data and user interactions, using a relevancy threshold to filter and display only the most relevant content, which can be adjusted dynamically based on user inputs and day parts, and visually distinguished through various display methods.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the guidance application displays all search results, then the quantity of information is maximized, but the user experience deteriorates due to overwhelming and irrelevant content
Solution Approach 1:
The patent extracts only the most relevant search results from the complete set of hits by applying relevancy criteria based on user profile data, search criteria, and content attributes. This filtering process removes irrelevant content while preserving essential information, directly resolving the contradiction between providing comprehensive results and maintaining user experience.
Solution Approach 2:
The patent applies different relevancy weights and criteria to different aspects of search results based on user preferences and context. By customizing the relevancy assessment for each user and search scenario, the system prioritizes locally important information while de-emphasizing less relevant content, thus improving ease of operation without losing important information.
2Measurement precision
If the guidance application uses strict relevancy thresholds, then the precision of relevant results is improved, but the quantity of displayed results decreases
Solution Approach 1:
The patent implements dynamic relevancy thresholds that adapt based on user profile data, search context, and content characteristics. Rather than applying a fixed threshold, the system adjusts relevancy criteria dynamically to balance precision and quantity, ensuring that sufficiently relevant results are displayed while maintaining accurate relevancy determination.
Solution Approach 2:
The patent changes multiple parameters simultaneously including relevancy weights, threshold values, and filtering criteria based on user preferences and search context. By adjusting these parameters dynamically, the system optimizes both the precision of relevancy determination and the quantity of meaningful results displayed for different user scenarios.
3Reliability
If the guidance application performs comprehensive relevancy analysis, then the quality of search results is improved, but the processing time and complexity increase
Solution Approach 1:
The patent performs preliminary analysis by pre-processing user profile data, search criteria, and content metadata to establish relevancy weights and criteria before the actual search execution. This preliminary preparation enables faster relevancy assessment during search operations, maintaining high result quality while reducing processing time for the actual search task.
Solution Approach 2:
The patent segments the relevancy analysis into multiple independent components including user preference matching, content attribute evaluation, and contextual relevance assessment. By dividing the comprehensive analysis into separate manageable segments that can be processed independently and in parallel, the system maintains high search result quality while reducing overall processing time and computational complexity.
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.