Audience Viewing Analysis via Cross-Channel Data Merging
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Solution Overview
Problem
Existing technologies do not enable comprehensive analysis of a content channel's audience across multiple viewing sessions that include content from other channels, providing a limited perspective for channel owners on viewer tendencies and behaviors.
Innovation Solution
A system and method that analyze viewing characteristics of a content channel by identifying topics, channels, and videos within viewing sessions that include content from other channels, providing channel owners with a broader perspective on their audience's preferences through reporting tools and notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If analysis is limited to only the channel owner's own content, then the analysis system remains simple and focused, but the perspective on viewer tendencies and behaviors becomes limited and incomplete
Solution Approach 1:
The patent merges data from multiple channels into a unified analysis system. By combining viewing data from the channel owner's content with content from other channels, the system achieves comprehensive audience analysis while managing complexity through integrated data processing architecture
Solution Approach 2:
The analysis system is designed to handle multiple functions: analyzing both the channel owner's content and external channel content, identifying various viewer characteristics, and providing diverse insights. This multi-functional approach allows complete audience analysis without requiring separate specialized systems
2Measurement precision
If the system analyzes only viewing data from the channel owner's own videos, then data processing remains straightforward, but insights into viewer preferences and tendencies are insufficient
Solution Approach 1:
The patent segments viewing data into distinct categories: data from the channel owner's videos and data from external channel videos. This segmentation allows the system to process and analyze different data sources separately while integrating them for comprehensive insights, improving analysis precision without being overwhelmed by data volume
Solution Approach 2:
The system uses an intermediary processing layer that receives viewing data from multiple channels, standardizes the data formats, and integrates them into a unified analysis framework. This intermediary structure enables precise viewer behavior analysis by harmonizing diverse data sources before processing
Data Source
AI summary
Systems and methods are disclosed for identifying viewing characteristics of an audience of a content channel. A method includes receiving an identification of a channel of interest having a plurality of first videos and being associated with a first channel owner in a network-based media sharing platform that provides a plurality of watch sessions to a plurality of users. The plurality of watch sessions comprises a subset of watch sessions that each include a first watched video from the channel of interest and one or more of a plurality of second watched videos from a plurality of additional channels, each of the plurality of additional channels associated with one of a plurality of second channel owners. The method further includes presenting a notification indicating characteristics of content of an additional channel of the plurality of additional channels, the additional channel comprising a second watched video from at least one watch session in the subset of watch sessions that each comprise the watched video from the channel of interest. The second watch video is associated with a popularity indicator representing lower popularity as compared to other second watch videos from the plurality of watch sessions.