Heat-map Interface for Filtering User Interaction Data
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Solution Overview
Problem
Conventional methods for monitoring content interactions focus primarily on successful interactions, neglecting unsuccessful ones which provide valuable insights into user experience, requiring significant resources for data monitoring and processing.
Innovation Solution
A system and method for presenting event data in a heat-map interface that filters and analyzes user interactions to visualize both successful and unsuccessful interactions, using a heat-map to represent interaction frequency and optimize content based on user feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If monitoring of all user interactions (including unsuccessful ones) is implemented, then comprehensive user experience insights are obtained, but resource consumption for data processing increases significantly
Solution Approach 1:
The patent segments user interactions into distinct categories (successful vs. unsuccessful interactions) and applies different monitoring and processing strategies to each segment. This allows comprehensive tracking of all interactions while optimizing resource usage by treating different interaction types differently in the analysis pipeline.
Solution Approach 2:
The patent implements partial monitoring by focusing on specific interaction outcomes. Rather than processing all raw interaction data uniformly, it selectively processes unsuccessful interactions that provide unique insights, applying partial action principles to reduce overall processing load while capturing critical information.
2Productivity
If filtering rules are applied to exclude unnecessary event data, then processing efficiency is improved, but potential valuable insights may be lost
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors interaction patterns and adjusts filtering rules based on observed data. This allows the system to maintain high processing efficiency while dynamically adapting to preserve valuable insights that emerge from the data, ensuring filtering rules evolve with understanding of user behavior.
Solution Approach 2:
The patent changes parameters of the filtering system based on analysis results. By adjusting filtering thresholds and criteria dynamically, the system optimizes the balance between processing efficiency and information retention, allowing more aggressive filtering when patterns are well-understood and more conservative filtering when novel insights are expected.
Data Source
AI summary
Disclosed herein are systems, methods, and non-transitory computer-readable storage media for presenting event data in a heat-map interface. Event data describing user interactions with a content item can be gathered and used to generate the heat map. The gathered event data can be filtered prior to processing to exclude unnecessary or irrelevant event data. The event data can be filtered based on numerous criteria such as a determined type of user interaction, demographic data, location of the event data, content item, etc. Filtering rules can be based on an analysis of the content item to determine what event data to exclude and current performance of the system. The filtered event data can be presented in a heat-map interface that represents the frequency at which event data occurs on an item of content based on location. The event data is analyzed to determine optimization rules that dictate selection of content items.