Mobile Terminal Application Cache Analysis for Targeted Ad Delivery
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Solution Overview
Problem
Users are increasingly indifferent to advertisements due to excessive exposure, leading to low advertisement effectiveness for advertisers, as current methods fail to provide targeted and relevant ads based on user interests.
Innovation Solution
A mobile terminal system that collects and manages application execution history information to determine user interests, allowing for the provision of targeted advertisements by comparing cache data size information to reference values and transmitting this information to an external server for personalized ad selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If advertisements are widely distributed through multiple channels, then advertisement coverage is improved, but user interest and advertisement effectiveness deteriorate
Solution Approach 1:
The patent applies local quality by customizing advertisement content based on individual user characteristics. The server analyzes user information including execution history of applications, device information, and location data to provide personalized advertisements tailored to each user's interests and behavior patterns, rather than using uniform advertisement content for all users.
Solution Approach 2:
The patent utilizes parameter changes by dynamically adjusting advertisement selection based on real-time user behavior parameters. The system monitors changes in application execution history, device status, and user interactions to modify which advertisements are presented to each user, making the advertisement delivery adaptive to changing user states.
2Device complexity
If general advertisements are provided to all users, then implementation complexity is reduced, but user engagement and interest deteriorate
Solution Approach 1:
The patent implements self-service by enabling the system to automatically collect, analyze, and process user information without manual intervention. The server autonomously gathers execution history data, device information, and location data, then automatically generates personalized advertisement selections based on this analyzed information, reducing the need for manual advertisement curation.
Solution Approach 2:
The patent applies feedback by continuously monitoring user responses to advertisements and using this information to refine future advertisement selections. The system tracks user interactions with advertisements and adjusts subsequent advertisement delivery based on this feedback, creating a closed-loop system that improves engagement over time.
Data Source
AI summary
A mobile terminal including: a memory having a plurality of applications stored therein; an application management module configured to receive application information corresponding to the respective applications, and generate status information of the applications, corresponding to the application information; and a controller configured to determine execution history information of the applications through the status information provided from the application management module, wherein the application management module includes: an application information collection unit configured to collect cache data size information of the respective applications at preset time intervals; and a comparison unit configured to generate the status information of the applications by comparing the cache data size information of the applications, collected by the application information collection unit, to reference values corresponding to the respective applications.