Session-Based Expression Image Provisioning via Usage Frequency White Lists
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Solution Overview
Problem
Existing communication technologies fail to effectively determine when to provide expression images in chats to avoid disturbing users, as they do not consider the context or frequency of their use in different sessions.
Innovation Solution
An expression image matching method and apparatus that obtain the identity of a session and determine whether to provide expression images based on a white list, which includes sessions with a predefined frequency of expression image usage, ensuring appropriate use and minimizing disturbance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the terminal provides expression images to the user through chat content matching, then the user can conveniently click and use expression images to increase chat interest, but the user will be disturbed when the user does not like to use expression images or when chatting in serious contexts with colleagues or bosses
Solution Approach 1:
The patent applies local quality by differentiating expression image provision across different chat sessions based on user behavior patterns. The system identifies specific sessions where expression images are frequently used and restricts provision to those sessions only, rather than uniformly providing expression images across all sessions. This localized approach ensures convenience is enhanced where needed while avoiding disturbance in sessions where it is not appropriate.
Solution Approach 2:
The patent implements preliminary action by pre-establishing a white list of chat sessions based on historical expression image usage frequency before actual expression image provision occurs. The system calculates usage frequency in advance, determines which sessions qualify for expression image provision, and stores these session identifiers in a white list. This preliminary classification enables the system to quickly determine whether to provide expression images without real-time analysis, thus improving responsiveness while avoiding unnecessary disturbances.
2Adaptability or versatility
If the terminal provides expression images in all chat sessions, then expression image availability is maximized, but expression images may be inappropriately provided in serious professional contexts
Solution Approach 1:
The system applies local quality by creating session-specific provision policies based on historical usage patterns. Each chat session is evaluated individually, and expression image provision is enabled only in sessions demonstrating frequent expression image usage. This localized differentiation ensures high adaptability in appropriate sessions while maintaining reliability by excluding serious professional contexts from expression image provision.
Solution Approach 2:
The patent implements feedback by continuously monitoring expression image usage frequency in each chat session and using this feedback to dynamically maintain the white list. The system calculates usage frequency based on historical data, adjusts the white list accordingly, and uses this updated information to control future expression image provision. This feedback mechanism ensures that expression images are provided adaptively in sessions where users expect them while maintaining appropriateness in sessions where they are not suitable.
Data Source
AI summary
An expression image matching method includes obtaining an identity of a session in which a user chats, the session being a dialog set in which the user chats with at least one other user. The method determines, according to a white list and the identity of the session, whether to provide an expression image to the user, and the white list comprising an identity of a session in which a frequency of using expression images meets a predefined condition. The method provides an expression image matching with chat content input by the user when determining to provide the expression image to the user.