Mobile Terminal Personalized Service Recommendation via Local Data Analysis
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Solution Overview
Problem
Conventional personalized information services in mobile communication terminals require users to pre-register their interests and manually update changes, causing inconvenience and inefficiency, as they cannot provide desired information without prior registration and require external server interaction.
Innovation Solution
A method and apparatus within the mobile communication terminal to analyze user data, determine user interest subjects, collect and classify service items, and recommend relevant services based on syntactic and semantic similarity, using a subject classification tree and Personalized PageRank algorithm, without the need for external registration or manual updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users pre-register their interest fields to the server, then personalized information service can be provided, but user convenience deteriorates due to manual registration and updates required
Solution Approach 1:
The terminal automatically analyzes user data (call logs, text messages, browsing history) to determine user interest fields without manual registration. The system self-updates interest fields when user behavior changes, eliminating the need for users to manually register or update their preferences while maintaining reliable personalized service
Solution Approach 2:
The terminal proactively collects and analyzes user data in advance to automatically determine interest fields before service requests occur. By performing preliminary analysis of user behavior patterns, the system prepares personalized service configurations automatically, removing the need for subsequent manual user actions
2Ease of operation
If the terminal analyzes user data locally to automatically determine interest fields, then user convenience improves, but device complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary that performs complex data analysis and interest field determination. The terminal collects user data and transmits it to the server, which then analyzes the data and returns determined interest fields to the terminal. This mediator approach transfers computational complexity from the terminal to the server while maintaining automatic determination functionality
Solution Approach 2:
The patent extracts the complex data analysis function from the terminal and relocates it to an external server. By separating the analysis capability from the terminal device, the system reduces terminal complexity while preserving the automatic interest field determination function through server-based processing
3Object-affected harmful factors
If the terminal collects and processes user data locally, then user data protection improves, but processing power requirements increase
Solution Approach 1:
The patent segments the data processing workflow into two parts: local data collection and storage in the terminal, and remote data analysis on the server. This segmentation allows sensitive user data to remain protected in the terminal while leveraging server resources for energy-intensive analysis, balancing data protection with processing efficiency
Data Source
AI summary
A method and apparatus provide an Internet service in a mobile communication terminal. The method includes determining a user interest subject from user data existing within the mobile communication terminal, collecting service items through network access, determining a subject for each of the collected service items, determining relevance between the user interest subject and each of the service items, and recommending a service item according to the relevance.