Selective Non-Interest Feedback Controls in Video Playback
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Solution Overview
Problem
Existing methods for users to provide non-interest feedback on recommended videos are limited and do not meet user needs.
Innovation Solution
A video playing method that includes displaying a feedback control for target videos to trigger non-interest feedback, and playing videos with or without the feedback control based on preset conditions, along with options for providing feedback reasons and confirmation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a feedback control is displayed for every video, then users can provide feedback for all videos, but the interface becomes cluttered and user experience deteriorates
Solution Approach 1:
The feedback control is selectively displayed only for target videos that meet specific criteria (e.g., recommended videos, videos with insufficient feedback), rather than uniformly for all videos. This local differentiation maintains interface cleanliness while ensuring feedback availability where most needed.
Solution Approach 2:
The display of feedback control dynamically adjusts based on video attributes and user context. The system determines whether to show the feedback control by evaluating multiple conditions including video type, user feedback history, and playback state, making the interface adaptive rather than static.
2Reliability
If feedback control is displayed for all videos, then feedback coverage is complete, but operation complexity increases
Solution Approach 1:
The system applies different feedback control display policies to different video types and contexts. Target videos receive feedback controls while non-target videos do not, creating a differentiated approach that maintains reliability for important videos without uniformly increasing complexity across all videos.
Solution Approach 2:
The video set is segmented into target videos and non-target videos based on specific criteria. This segmentation allows the system to apply feedback controls selectively to the relevant subset (target videos) while leaving the rest unaffected, thereby maintaining feedback coverage where needed without unnecessarily complicating the overall interface.
3Measurement precision
If multiple feedback interactions are required, then feedback accuracy improves, but user convenience decreases
Solution Approach 1:
The system implements a multi-step feedback process that may include selecting feedback reasons and confirming feedback actions. While this exceeds the minimum single-click action, it ensures accurate and meaningful feedback collection by gathering additional context (reasons) that improves feedback precision for recommendation optimization.
Solution Approach 2:
The system uses the collected feedback information (including feedback reasons and confirmation status) to optimize future video recommendations. The feedback loop ensures that the additional interaction steps serve a purposeful function of improving recommendation accuracy, which ultimately benefits user experience through better content delivery.
Data Source
AI summary
Described herein are techniques for presenting videos. The techniques comprise receiving an instruction of presenting a video; determining whether the video satisfies a predetermined condition; displaying a feedback control on an interface while presenting the video on the interface in response to determining that the video satisfies the predetermined condition, the feedback control configured to trigger feedback of being not interested in the video; and presenting the video on the interface without displaying the feedback control on the interface in response to determining that the video does not satisfy the predetermined condition.