Adaptive Content Summary Generation for Multimedia Pages
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Solution Overview
Problem
Existing information recommendation systems struggle to adapt to users' information acquisition needs, leading to low information acquisition efficiency due to the inability to distinguish users' content consumption intentions.
Innovation Solution
A content processing method and apparatus that determines users' content consumption intentions based on browsing information and generates target summary information of varying detail degrees to match these intentions, displaying it on the target content page.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If information recommendation systems push contents to users based on pre-screening, then users can access recommended information, but users cannot rapidly acquire main information and information acquisition efficiency remains low
Solution Approach 1:
The patent segments multimedia content into different summary levels (first summary information and second summary information) based on user consumption intentions. The system divides content into concise summaries for shallow consumption and more detailed summaries for deep consumption, allowing users to quickly obtain main information without browsing entire content, thereby improving information acquisition efficiency and reducing time loss.
2Loss of information
If the system provides detailed summary information, then information content is comprehensive, but it does not match shallow consumption intentions and reduces efficiency
Solution Approach 1:
The patent implements a dynamic summary information generation mechanism that adapts to user consumption intentions. The system dynamically adjusts the level of detail in summary information based on detected user intent: providing first summary information (concise) for shallow consumption intentions and second summary information (detailed) for deep consumption intentions. This dynamic adaptation ensures both information completeness and acquisition efficiency are optimized according to actual user needs.
3Adaptability or versatility
If the system generates different summary information for different consumption intentions, then user needs are better matched, but system complexity increases
Solution Approach 1:
The patent employs feedback mechanisms to detect user consumption intentions based on browsing information and interaction patterns. The system continuously monitors user behavior, analyzes consumption intentions, and adjusts summary information generation accordingly. This feedback-driven approach enables the system to adapt to different user needs without requiring complex manual configuration, as the system automatically learns and responds to user preferences through observed behavior patterns.
Data Source
AI summary
The disclosure relates to a content processing method and apparatus, a device, and a storage medium. The method includes: showing a target content page to display a multimedia content; determining a content consumption intention on the multimedia content based on browsing information corresponding to the target content page; determining target summary information that adapted to the content consumption intention, where the target summary information is generated at least based on the multimedia content; in response to the content consumption intention being a shallow consumption intention, the target summary information is first summary information; and in response to the content consumption intention being a deep consumption intention, the target summary information is second summary information with a larger information content; and displaying the target summary information on the target content page.