Content Series Interest Detection With Contextual Reengagement
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Solution Overview
Problem
Existing systems fail to effectively determine and address viewer decline in interest for content series, leading to potential cancellation and loss of production investments.
Innovation Solution
A computer-implemented method using processing circuitry to monitor consumption patterns, identify changes indicative of reduced interest, and provide targeted interventions such as spoilers based on contextual information and machine learning models to reengage viewers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional viewership monitoring is used, then production investments are at risk of loss, but the system lacks the capability to effectively determine and address viewer decline in interest
Solution Approach 1:
The patent segments the viewership monitoring system into multiple components: consumption pattern monitoring module, interest reduction determination module, and contextual information analysis module. Each module handles a specific aspect of the analysis, breaking down the complex task of determining viewer interest into manageable segments that can be processed independently and then integrated.
Solution Approach 2:
The patent introduces an intermediary processing layer that sits between raw consumption data and production decisions. This intermediary module analyzes consumption patterns, determines interest reduction, and provides actionable insights, serving as a mediator that translates complex viewer behavior data into reliable assessment results for production stakeholders.
2Measurement precision
If detailed consumption pattern monitoring is implemented, then reasons for declining interest can be identified, but the complexity of data processing increases
Solution Approach 1:
The patent extracts only the most relevant features from consumption data, such as viewing frequency, episode completion rates, and pause/rewind patterns. By taking out and focusing on these specific indicators rather than processing all raw data, the system achieves high measurement precision while keeping data processing complexity manageable.
Solution Approach 2:
The patent performs preliminary analysis of consumption patterns to establish baseline viewing behaviors before detecting deviations. This preliminary action creates reference profiles of normal viewing patterns, allowing the system to identify interest reduction with high precision by comparing current behavior against established baselines, thereby simplifying the detection process.
3Adaptability or versatility
If contextual information analysis is added to identify reasons for interest reduction, then viewer reengagement becomes possible, but the system complexity increases
Solution Approach 1:
The patent merges the consumption pattern monitoring function with contextual information analysis into a unified interest reduction determination system. By combining these functions, the system can identify not only that interest is declining but also why it is declining, enabling targeted reengagement strategies while avoiding the complexity of completely separate systems.
Solution Approach 2:
The patent implements a feedback loop where contextual information about production changes (cast modifications, plot developments, scheduling changes) is continuously fed back into the analysis model. This feedback mechanism allows the system to adaptively identify reasons for interest reduction and suggest appropriate reengagement strategies, enhancing versatility without proportionally increasing complexity.
Data Source
AI summary
Systems and methods are provided herein for determining reduction of interest in a content series and to increasing the interest upon such determination. This may be accomplished by a device monitoring consumption of a content series to determine a pattern of consumption. The device may identify a change in the pattern of consumption indicative of a reduction of interest and determine a reason for the reduction in interest. Based on the reason for the reduction of interest, the device may provide an operation, such as a spoiler, to increase interest in the content series.