Emoticon Recommendation Groups Based on Meta Information
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Solution Overview
Problem
Existing instant message services face challenges in recommending appropriate emoticons quickly and conveniently, especially with the vast number of emoticons available, as users find it inconvenient to search for suitable emoticons by typing keywords.
Innovation Solution
A method for a user terminal to display recommendation groups of emoticons based on meta information associated with a received emoticon, allowing users to select preferred emoticons conveniently by categorizing them into groups related to different meta information fields such as keywords, emotions, and user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the number of emoticons provided increases to express various emotions and topics, then the ability to express user emotion and personality improves, but the difficulty of finding a preferred emoticon among many options increases
Solution Approach 1:
The patent segments the large set of emoticons into multiple recommendation groups based on different meta information categories (keywords, emotions, user preferences). This segmentation allows users to navigate through organized subsets rather than searching through all emoticons at once, making the selection process more manageable and convenient while maintaining access to the full diverse collection.
2Measurement precision
If a keyword search function is provided to find emoticons, then the ability to locate specific emoticons improves, but the time and effort required to type keywords and search increases
Solution Approach 1:
The system performs preliminary action by pre-organizing emoticons into recommendation groups based on their meta information before the user needs to search. When an emoticon is received or selected, the system proactively generates and displays relevant recommendation groups, eliminating the need for users to manually type keywords and perform searches, thus reducing both time and effort while maintaining accurate emoticon retrieval.
3Ease of operation
If recommendation groups are displayed to organize emoticons by meta information, then the ease of emoticon selection improves, but the complexity of the recommendation system increases
Solution Approach 1:
The patent applies universality by using a unified meta information structure that can represent multiple aspects of emoticons (keywords, emotions, user preferences) in a consistent format. This universal approach allows the recommendation system to handle diverse emoticon attributes through a single framework, generating recommendation groups based on different meta information types without requiring separate complex systems for each attribute type.
Data Source
AI summary
Provided is a method for recommending emoticons, the method including: displaying, by a user terminal, a first emoticon related to first meta information; and displaying, by the user terminal, first and second recommendation groups, the first and second recommendation groups each comprising at least one recommended emoticon corresponding to the first emoticon, wherein at least one recommended emoticon included in the first recommendation group is related to at least one piece of first associated meta information corresponding to the first meta information, wherein at least one recommended emoticon included in the second recommendation group is related to at least one piece of second associated meta information that corresponds to the first meta information and is different from the first associated meta information, and wherein the first meta information and the first and second associated meta information are different.