Webpage Consumption Aggregation Across Unaffiliated Sites
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Solution Overview
Problem
Current systems only report webpage consumption information for single, publisher-specific websites, failing to provide comprehensive trending information across unaffiliated websites, which can lead to publishers missing revenue opportunities by not adapting to trending topics.
Innovation Solution
A system that aggregates and compares webpage consumption data across multiple unaffiliated websites, allowing publishers to analyze and transmit topical-level consumption information, enabling informed decisions on content presentation and revenue optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If webpage consumption information is reported for a single publisher-specific website, then the system can provide detailed publisher-specific analytics, but it fails to provide comprehensive trending information across unaffiliated websites
Solution Approach 1:
The patent introduces a third-party system that acts as an intermediary to collect, aggregate, and analyze webpage consumption data from multiple unaffiliated websites. This intermediary system processes data from various sources and provides comprehensive trending information to publishers without requiring the publishers themselves to implement complex aggregation infrastructure.
2Productivity
If a publisher only monitors its own website consumption data, then the analysis system remains simple, but the publisher may lose revenue by not adapting to trending topics across the industry
Solution Approach 1:
The system performs preliminary actions by continuously collecting and aggregating consumption data from multiple websites in advance, maintaining ready-to-use trending information that publishers can immediately access and act upon without needing to implement their own time-consuming data aggregation infrastructure.
3Measurement precision
If the system aggregates data from multiple unaffiliated websites, then comprehensive trending information becomes available, but the measurement and analysis across different websites becomes more difficult
Solution Approach 1:
The patent implements a universal data collection framework that can handle multiple website sources with different structures and formats. The system uses standardized topic identification methods that work across diverse websites, enabling consistent measurement of consumption patterns regardless of the source website's specific implementation details.
Data Source
AI summary
A method includes aggregating a set of analyzed webpage portions from at least two unaffiliated websites. The method also includes transmitting an aggregated result, the aggregated result associated with an aggregated set of analyzed webpage portions. Another embodiment includes the set of analyzed webpage portions being associated with a topic. Yet another embodiment includes receiving an indication of an occurrence of a browser event and analyzing, in response to receiving the indication, a webpage portion then storing an analyzed webpage portion and the browser event in a database. Yet another embodiment includes analyzing the webpage portion by downloading a webpage portion from at least one website, extracting a text portion from the webpage portion and associating, in response to extracting the text portion, at least one topic from the text portion.