Scenario Interaction Interface for Video Message Targeting
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Solution Overview
Problem
The probability of users watching advertisement messages during video playback is low due to a lack of correlation between the pushed advertisements and the video content, resulting in low adoption rates.
Innovation Solution
A message push method and apparatus that displays a scenario interaction interface at a preset playback time, allowing for interaction-based targeting of advertisements, where interaction information is obtained and used to generate and deliver targeted messages, increasing user engagement by correlating the advertisement with the video content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If advertisement messages are directly pushed during video playback, then the message delivery is simple and fast, but the correlation between the advertisement and video content is low, resulting in low user engagement
Solution Approach 1:
The system performs preliminary analysis of video content before the advertisement is pushed, extracting key elements such as objects, scenes, and themes. This preliminary action enables the subsequent advertisement selection to be highly correlated with the video content, resolving the contradiction between delivery efficiency and content correlation by preparing the matching data in advance
Solution Approach 2:
The system implements feedback mechanisms by analyzing user interaction data and advertisement performance metrics. This feedback loop continuously optimizes the correlation between advertisements and video content by adjusting selection criteria based on actual user engagement patterns, thereby improving both relevance and effectiveness over time
2Device complexity
If traditional direct push methods are used, then the implementation is simple, but the probability of users watching or listening to the message is low
Solution Approach 1:
The system applies local quality by customizing advertisement content according to specific video segments and user contexts. Instead of using generic advertisements, the system tailors the message content, timing, and delivery method to match the local characteristics of the video being watched and the user's current state, thereby significantly improving adoption probability without requiring complete system redesign
Solution Approach 2:
The system introduces dynamics by making the advertisement push timing and content adaptive rather than static. The push timing is dynamically adjusted based on video playback progress and user engagement levels, and the content is dynamically selected based on real-time analysis of video content and user preferences, thereby improving reliability while maintaining manageable complexity
Data Source
AI summary
A message push method includes playing a first video in a play interface of a terminal according to first video data transmitted by a server. The method further includes displaying, by processing circuitry of the terminal, a scenario interaction interface at a preset playback time of the first video, the scenario interaction interface being set according to display content of an electronic device shown in the first video. Next, the method includes obtaining interaction information input based on the displayed scenario interaction interface, and obtaining a target message related to the obtained interaction information. Finally, the method includes outputting the obtained target message by the processing circuitry of the terminal.