Automated Contact Grouping via Media Characteristic Extraction
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Solution Overview
Problem
Current contact management in communications tools and applications relies heavily on manual grouping, which is time-consuming and inefficient, especially as the number of contacts increases, limiting effective targeting for information sharing.
Innovation Solution
An automated contact grouping method that extracts key characteristics from media information, such as voice, text, or image, and matches them to prestored contact attributes to accurately group contacts, allowing for precise selection and information delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual contact grouping is used, then contacts can be organized according to user preferences, but the process becomes time-consuming and inefficient as the number of contacts increases
Solution Approach 1:
The system automatically performs contact grouping by analyzing media information and matching it with contact attributes without requiring user intervention. The processor autonomously extracts characteristics from media, compares them with prestored contact attributes, and generates grouping results, allowing the system to serve itself rather than relying on manual user operations.
Solution Approach 2:
The patent replaces the mechanical manual operation of contact grouping with an automated information processing system. The processor uses algorithms to extract characteristics from media information (voice, text, images) and automatically matches them with contact attributes, substituting human manual sorting with computational automation.
2Productivity
If automatic grouping based on single attribute is implemented, then grouping speed improves, but accuracy and precision of contact selection deteriorates
Solution Approach 1:
The patent segments the contact attribute into multiple dimensions including voice characteristics, text features, and image properties. By dividing the single attribute into multiple characteristic segments and analyzing each separately, the system achieves both high-speed automated processing and precise contact selection through multi-faceted attribute matching.
Solution Approach 2:
The patent transitions from single-attribute grouping to multi-dimensional attribute matching by incorporating voice, text, and image characteristics. This dimensional expansion allows the system to maintain high productivity through automated processing while improving measurement precision through comprehensive multi-attribute comparison.
Data Source
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AI summary
The present invention relates to a contact grouping method and apparatus, where the method includes: receiving media information sent by a contact; extracting a key characteristic of the media information; searching, according to a prestored correspondence between a key characteristic and a contact attribute, for whether a contact attribute corresponding to the key characteristic of the media information exists; and grouping, if the contact attribute corresponding to the key characteristic of the media information exists, the contact into a group corresponding to the attribute according to the found contact attribute. According to the contact grouping method and apparatus in embodiments of the present invention, contacts in an address book of various communications tools or communications applications can be grouped automatically and accurately, and when a user uses the communications tools or the applications to batch-send or share information, contacts in a target group can be precisely selected according to the group, thereby avoiding incorrect information delivery, information flooding, and a traffic waste on non-target contacts.