Viewer Segment Analysis Interface for Ad Targeting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Content providers face challenges in analyzing and identifying optimal viewer segments for targeted advertisements due to the complexity and size of datasets, which obscure feature associations and require advanced data processing beyond human capabilities.
Innovation Solution
A system and method for aggregating and analyzing viewer data to create interactive user interfaces that enable users to quickly identify and select relevant viewer segments based on specified features, using techniques such as keyword searching and deep-learning to surface related segments, and presenting analysis information in a user-friendly format.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If content providers access and analyze large datasets containing viewership information across tens of thousands of segments, then they can identify specific audience characteristics and viewing behaviors, but the complexity and size of the datasets make it difficult to identify segments with particular features due to obfuscation of features in the datasets
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between the raw datasets and the content provider. This system includes a user interface with search functionality that translates user queries into segment identification, and a segment identification module that maps search results to specific viewer segments. The intermediary handles the complexity of feature obfuscation by providing automated search and analysis capabilities, allowing content providers to access viewership information without directly navigating the complex dataset structure.
2Productivity
If content providers manually analyze datasets to identify optimal viewer segments for targeted advertisements, then they can make informed decisions about content inclusion, but the level of analysis and data visualization required is beyond the capabilities of unaided humans
Solution Approach 1:
The system implements self-service capabilities where the interface automatically performs data analysis, segmentation, and visualization without requiring manual intervention. The search functionality automatically queries the dataset based on user input, the segment identification module autonomously maps results to relevant segments, and the system generates visualizations of viewer characteristics and behaviors. This automation enables content providers to efficiently identify optimal viewer segments without needing advanced analytical skills or manual data processing capabilities.
3Adaptability or versatility
If datasets aggregate viewing behavior across disparate segments with unique combinations of features, then content providers can track viewership information across different segments, but the unique combinations of features and names for features create obfuscation that hinders identification of segments with particular features
Solution Approach 1:
The system incorporates feedback mechanisms where the interface presents search results with information about viewer segments, and the segment identification module uses this feedback to refine and confirm segment identification. The system provides feedback about the characteristics of identified segments, allowing content providers to verify that the correct segments are being identified despite the unique feature combinations. This iterative feedback process helps overcome the obfuscation created by diverse feature naming conventions.
Data Source
AI summary
Systems and methods are disclosed for systems and user interfaces for rapid analysis of viewership information. One of the methods includes accessing databases storing viewership information associated with segments, with each segment being associated with common features of viewers. Measures of association between the segment and content items are maintained for each segment. An interactive user interface is presented via a user device, the interactive user interface enabling creation of a customized viewing audience. The interactive user interface receives user input indicating a segment, identifies similar segments based on associations between features of the segment and of other segments, and presents the identified segments. Analysis information associated with the segments is presented for at least one of the one or more segments, with the segments being included in the customized viewing audience.