Message Filtering by Importance Score for Context Retrieval
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Solution Overview
Problem
Users face difficulty in retrieving specific messages from a large message history in messaging applications, as irrelevant messages, such as emoticons, are displayed alongside important context-related messages, making it hard to find desired information quickly.
Innovation Solution
Implementing a method that filters messages based on their importance using a message analysis engine, which calculates a score for each message considering factors like the number of specific words, their weight, occurrence frequency, and time of posting, allowing users to select filtering levels to display only relevant messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all messages are displayed in the message history, then the complete conversation context is preserved, but the user experiences difficulty in retrieving specific messages due to the large amount of data and presence of irrelevant messages
Solution Approach 1:
The message history is segmented into different importance levels (first level for important messages, second level for less important messages). The processing apparatus divides messages into these segments based on importance determination, allowing users to view only relevant messages at a time while preserving the complete context in the background.
Solution Approach 2:
Different messages are assigned different qualities based on their importance. Important messages are displayed with higher visibility in the first level, while less important messages are placed in the second level. This local differentiation of quality allows efficient retrieval of critical information without losing overall context.
2Ease of operation
If message filtering is implemented to show only important messages, then message retrieval becomes easier, but the complete conversation context may be lost
Solution Approach 1:
The message display structure uses a nested arrangement where the first level of important messages contains or encompasses references to the second level of less important messages. Users can access the complete context by navigating into the nested structure, while the outer layer provides quick access to key information.
Solution Approach 2:
The processing apparatus performs preliminary classification of messages into importance levels before display. This preliminary action organizes messages so that when users need complete context, the structured arrangement allows efficient access without requiring manual sorting through all messages.
3Measurement precision
If a complex analysis system is used to determine message importance, then message filtering accuracy improves, but the device complexity increases
Solution Approach 1:
The importance determination process analyzes multiple parameters of each message (content, sender, timing, frequency) and changes the display state based on the combined evaluation of these parameters. This multi-parameter approach achieves accurate importance determination without requiring a single complex analysis mechanism.
Data Source
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Figure 4A
AI summary
An electronic apparatus for filtering a plurality of messages and a method thereof are disclosed. The method includes displaying at least some of the plurality of messages; receiving an input that requests a filtering of the plurality of messages; obtaining one or more messages having an importance that meets the filtering request of the user from among the plurality of messages based on an importance of each of the plurality of messages, in response to the input; and displaying the one or more obtained messages.