Video Recommendation Comments for Multi-User Playback Interaction
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Solution Overview
Problem
Current video recommendation systems lack variety in user interactions, limiting the ability for multiple users to communicate and comment on videos simultaneously, which affects user experience.
Innovation Solution
A method and apparatus that allows users to recommend videos with additional comments, enabling multiple users to interact and comment on the same video, with the system storing and displaying recommendation information on a playback interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video recommendation is implemented with basic user information only, then the system is simple to operate, but the interaction variety and user experience are limited
Solution Approach 1:
The recommendation information is segmented into multiple components: basic user information, recommendation comments, and user interactions. This segmentation allows the system to progressively build interaction variety by adding comment functionality and multiple user participation without overwhelming complexity, as each component can be developed and managed independently
Solution Approach 2:
The system transitions from one-dimensional basic user information to multi-dimensional interaction by adding temporal dimension (multiple users recommending over time) and content dimension (recommendation comments). This dimensional expansion enables richer interactions while maintaining the original simple user information structure as a foundation
2Loss of information
If multiple users can comment on video recommendations, then user communication and interaction are enhanced, but the data processing and storage complexity increases
Solution Approach 1:
Multiple user comments and recommendations are merged into a single consolidated data structure (second video information) that combines all recommendation information. This merging approach preserves complete communication information from multiple users while simplifying storage and processing by treating the consolidated data as a unified entity rather than managing separate comment streams
3Adaptability or versatility
If recommendation comments from multiple users are displayed, then user experience and interaction variety are improved, but the interface complexity and information display burden increase
Solution Approach 1:
The playback interface is enhanced with a universal comment panel that serves multiple functions: displaying recommendation comments from multiple users, providing interaction controls for users to add their own comments, and maintaining the original video playback functionality. This multi-functional panel consolidates various interaction capabilities into a single unified interface element, preserving ease of operation while enabling rich user communication
Data Source
AI summary
The present disclosure provides a method, apparatus, and electronic device for processing of video recommendations. The present disclosure enables: at least one of second users can recommend a video to a first user, and when recommending the video, the second user can add own recommendation comment on the video, and the first user sees the comment on the video from the at least one of second users on a playback interface of a first client, and can also conduct operations such as comment, like, etc. on the comment by the second user, and can further recommend the video to a third user.