Automated Resource View Data Collection Tag
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Solution Overview
Problem
Current methods for collecting data on resource views are inefficient, often requiring manual tagging which can be incorrect or outdated, and struggle with dynamically-generated resources, increasing the burden on content providers.
Innovation Solution
A data collection tag is embedded in resources, which identifies and sends specific content to a server using a uniform resource locator (URL), compressing or summarizing data if necessary, and excluding opt-out areas, to generate resource view data that can be used for remarketing and content distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual tagging methods are used to collect resource view data, then data collection can be performed, but the process is inefficient and prone to errors
Solution Approach 1:
The system enables automatic data collection where the resource view data collection module autonomously identifies and collects data from viewed resources without requiring manual intervention. The module executes instructions to automatically generate resource view data including identified content, device parameters, and resource identifiers, eliminating the need for manual tagging while improving both efficiency and accuracy.
Solution Approach 2:
The patent replaces manual tagging operations with an automated computational system. The resource view data collection module uses programmed instructions to automatically extract content from resources, generate URLs with parameters, and send data to servers, substituting human manual processes with machine-based automation that improves productivity and reduces errors.
2Measurement precision
If comprehensive resource view data is collected, then accurate topic identification is achieved, but data size exceeds transmission limits
Solution Approach 1:
The system extracts only the essential and relevant content from viewed resources for inclusion in resource view data. The collection module identifies specific content portions based on instructions, selectively extracting meaningful data while excluding unnecessary information. This extraction approach maintains topic identification accuracy while reducing overall data size to fit transmission constraints.
Solution Approach 2:
The system collects a partial set of resource view data that is sufficient for accurate topic identification without attempting to capture all possible information. By selecting key content elements and parameters rather than comprehensive data, the system achieves the necessary measurement precision while keeping data size within acceptable limits for URL parameters and transmission.
3Loss of information
If all content from a resource is sent to the server, then complete data is collected, but transmission time and bandwidth are excessive
Solution Approach 1:
The resource view data collection module extracts only the necessary content and parameters required for effective resource view tracking and remarketing. Instead of transmitting all resource content, the system selectively identifies and sends key information such as identified content, device parameters, and resource identifiers, maintaining data usefulness while significantly reducing transmission time and bandwidth consumption.
Solution Approach 2:
The system segments resource view data into distinct components including identified content, device parameters, and resource identifiers. This segmentation allows the system to transmit only the essential segments required for tracking and analysis, rather than sending complete resource content, thereby reducing transmission time while preserving the completeness of critical information.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for collecting data regarding resource views. In one aspect, a method includes generating a tag that includes instructions that, upon execution of the instructions, cause a device to perform operations including identifying content located in at least one particular portion of a structured resource. The particular portion can be specified by the instructions. The operations may include generating resource view data that includes parameters identifying the device and at least a portion of the identified content. The operations may include sending the resource view data to a server. A request for the tag may be received. The tag may be provided in response to the request.