Wireless Terminal Life Log Analysis for Personalized Service Delivery
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Solution Overview
Problem
Current life log-based services in wireless communication systems are limited to simple information searching and retrieval, failing to utilize user data effectively for personalized services or targeted advertisements.
Innovation Solution
A method and apparatus that collect user data from terminals, transmit it to a log management server, and determine missions or advertisements based on user behavior, allowing for personalized services and targeted advertisements by analyzing user life log data to provide relevant missions and benefits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If life log data is collected and stored, then user behavior analysis capability is improved, but data privacy and security risks increase
Solution Approach 1:
A log management server is introduced as an intermediary between the terminal and the service provider. The terminal collects life log data locally and transmits only processed log information to the server, which then determines missions without accessing raw personal data. This intermediary architecture enables behavior analysis while protecting user privacy by keeping detailed personal information on the user's device.
Solution Approach 2:
Different parts of the system have different data processing responsibilities. The terminal performs local data collection and processing, storing sensitive raw data locally. The log management server performs mission determination based on processed logs rather than raw data. This local quality differentiation allows analysis capability while minimizing privacy exposure at each stage.
2Device complexity
If simple information searching service is provided, then system complexity is reduced, but service value and user engagement are limited
Solution Approach 1:
Missions are determined in advance based on analyzed life log data and stored in the log management server. When a user performs an action, the system checks against pre-determined missions and automatically provides corresponding benefits. This preliminary determination approach enables personalized services without real-time complex analysis, maintaining system simplicity while increasing service value.
Solution Approach 2:
The system establishes a feedback loop where user actions are tracked, compared against determined missions, and automatically rewarded. This feedback mechanism increases user engagement by providing immediate, personalized recognition for desired behaviors, transforming simple information searching into an interactive service that actively guides and rewards user actions.
3Productivity
If personalized services are implemented, then user engagement is improved, but data processing requirements and system complexity increase
Solution Approach 1:
The system performs data processing in advance by determining missions based on life log analysis before users need services. Processed log information and mission criteria are stored, eliminating the need for complex real-time processing when delivering services. This allows personalized engagement while keeping actual service delivery simple.
Data Source
AI summary
A method and an apparatus provide a customized service based on a user log in a wireless communication system. A method of a terminal collects user data existing inside a terminal. The method transmits the user data to a log manage server. The method receives a mission determined based on user data from the log manage server. The method transmits performance results regarding the mission to the log manage server.