Media Consumption Rate Change Detection for Search Indexing
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Solution Overview
Problem
Current systems fail to promptly detect and report changes in networked media content consumption rates and patterns, leading to delayed indexing of new content and low visibility of important changes in audience behavior for media providers.
Innovation Solution
A computer-implemented method that analyzes media consumption histories to identify changes in consumption rates between time intervals, providing reports on selected media content, including exposure to advertising content, to monitor and report on consumption trends.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional indexing methods are used for networked media content, then the system structure remains simple, but new content is not indexed immediately resulting in delayed inclusion in search results
Solution Approach 1:
The system performs preliminary actions by proactively monitoring and detecting consumption rate changes before they become significant trends. The reporting system continuously analyzes media consumption histories and identifies content with changing consumption patterns, preparing indexing candidates in advance before they would naturally be discovered by traditional periodic crawling methods.
Solution Approach 2:
The system implements feedback mechanisms by using consumption rate data to dynamically adjust indexing priorities. The reporting system provides feedback about which content is gaining popularity or experiencing broken links, allowing the search system to adapt its indexing behavior based on actual user engagement patterns rather than following a static schedule.
2Loss of information
If traditional monitoring methods are used for audience behavior, then the system complexity remains low, but important changes in consumption behavior and audience size have low visibility
Solution Approach 1:
The system extracts only the most critical information from media consumption data - specifically, changes in consumption rates that indicate emerging trends or problems. Rather than attempting to monitor and analyze all consumption data in detail, the system identifies and extracts only those cases where consumption patterns are changing significantly, making important changes visible without requiring comprehensive complex monitoring of all content.
Solution Approach 2:
The system monitors changes in consumption rate parameters over time to detect significant shifts in audience behavior. By tracking how consumption rates change between different time intervals and identifying content where these changes exceed thresholds, the system can detect important trends and issues without needing to analyze every individual consumption event in detail.
Data Source
AI summary
A method, system and computer readable storage medium for reporting on a measured change in a consumption rate. Media consumption histories for a plurality of entities are received. A monitored audience is selected from the plurality of entities by selecting entities which have completed an online purchase. A category value for each of two or more categories of media content is determined. One category of media content includes one or more items of media content. One category value represents the measured change in consumption rate for one category of media content for the monitored audience between at least two time intervals. One consumption rate is determined based on the number of times each item of media content in the one category has been delivered over a network during one time interval. A report including a reference to two or more categories and their associated category values is generated.