Video Recommendation Comments on Playback Interface
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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 multiple users to recommend videos with additional comments, enabling a playback interface to display these comments and allow users to interact with them, and further recommend the video to others, enhancing user engagement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If video recommendations are limited to one-to-one sharing, then the system is simple to operate, but the variety and interaction of recommendations are limited
Solution Approach 1:
The patent segments the recommendation system into multiple independent components: individual user recommendation capabilities, comment functionality, and social interaction features. Each user can independently recommend videos and add comments, which are then aggregated and displayed. This segmentation allows the system to support multiple users and interactions without requiring complex centralized coordination, thus improving recommendation variety while maintaining manageable system complexity.
Solution Approach 2:
The patent implements multi-functionality by enabling the video recommendation system to perform multiple functions simultaneously: video sharing, comment posting, social interaction, and group recommendation. The same interface and mechanisms serve multiple purposes, allowing users to recommend videos to multiple recipients while adding comments and engaging in social interactions, thereby increasing recommendation variety without proportionally increasing system complexity.
2Productivity
If multiple users can comment and interact on video recommendations, then user engagement increases, but the interface and interaction complexity increase
Solution Approach 1:
The patent merges multiple interaction functions into a unified interface: video playback, recommendation display, comment posting, and social interaction are integrated into a single coherent interface. Users can view recommended videos, read comments from multiple users, post their own comments, and engage in social interactions all through the same interface without switching between separate systems, thereby maintaining ease of operation while enabling high user engagement.
Solution Approach 2:
The patent implements self-service by allowing users to automatically receive and view recommendations and comments from multiple other users without manual intervention. The system automatically aggregates recommendations and comments, displays them in an organized manner, and enables users to interact with content and other users through intuitive self-service interfaces, maintaining simplicity while supporting complex multi-user interactions.
3Loss of information
If video recommendations include user comments and interaction features, then communication among users is enhanced, but the data processing and storage requirements increase
Solution Approach 1:
The patent extracts the communication essence from complex data structures by focusing on key information elements: user identifiers, recommendation content, and comment text. Rather than storing and processing all possible interaction data, the system extracts and prioritizes the essential communication elements needed for user interaction, thereby enhancing communication quality while minimizing data volume and processing requirements.
Solution Approach 2:
The patent applies parameter changes by optimizing data representation and storage formats for recommendation and comment information. The system uses efficient data structures and compression techniques to store user comments and interaction data, changing the parameters of data storage to reduce volume while preserving communication quality. This allows the system to handle enhanced user communication without proportionally increasing data storage and processing requirements.
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.