APP Pushing via Intimacy Sets and Address Book Analysis
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Solution Overview
Problem
The existing methods for pushing applications (APPs) to user terminals suffer from low accuracy, as users often install APPs that are not the ones they desire, leading to inefficient use and reduced user satisfaction.
Innovation Solution
An APP pushing method that analyzes address book data across multiple user terminals to identify identical communication numbers, determines intimacy sets based on interaction data, and extracts sets with a predetermined number of close relationships, then pushes relevant APPs to user terminals with a high matching degree, improving accuracy and relevance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users actively search for APPs on an APP application platform, then users can find and install APPs independently, but the APP pushing accuracy is low because users may install wrong or undesired APPs
Solution Approach 1:
The patent introduces an intermediary system that uses address book data and interaction data as mediators to match users with relevant APPs. The system analyzes communication relationships and interaction patterns between users to automatically push suitable APPs, eliminating the need for users to manually search and install incorrect applications.
Solution Approach 2:
The patent implements feedback mechanisms by analyzing interaction data between users and their contacts in the address book. The system continuously monitors communication patterns and uses this feedback to improve APP recommendation accuracy, creating a closed-loop system that learns from user behavior.
2Measurement precision
If the system pushes APPs based on address book data and interaction analysis, then APP pushing accuracy is improved, but the system complexity increases due to data collection and analysis requirements
Solution Approach 1:
The patent makes the system multi-functional by using the address book and interaction data for multiple purposes: not only for APP pushing but also for user profiling, relationship analysis, and behavior prediction. This universal use of data infrastructure reduces the need for separate specialized systems.
Solution Approach 2:
The patent performs preliminary actions by pre-collecting and organizing address book data and interaction patterns before APP pushing is needed. The system establishes user profiles and relationship maps in advance, so that when APP recommendations are required, the analysis is already complete or can be quickly executed.
3Measurement precision
If the system collects and analyzes interaction data from multiple user terminals, then the intimacy set accuracy is improved, but the data processing time and computational resources increase
Solution Approach 1:
The patent applies preliminary action by pre-processing interaction data and establishing intimacy scores between users and their contacts before actual APP pushing occurs. The system continuously updates relationship metrics in the background, so that when recommendation decisions are needed, the analysis is already complete.
Solution Approach 2:
The patent uses partial action by focusing analysis on only the most relevant data elements - specifically addressing book relationships and key interaction patterns - rather than processing all possible user data. This selective approach maintains accuracy while reducing computational overhead.
Data Source
AI summary
Discloses are an APP pushing method and a computer-readable storage medium. Information of address book of each of a plurality of user terminals installed with a preset APP is obtained. All identical communication numbers present in detected address books of the plurality of user terminals are obtained. An intimacy set between a friend user corresponding to each identical communication number and terminal users corresponding to the plurality of user terminals is obtained according to interaction data between the friend user and the terminal users. At least one intimacy set with a number of close relationships matching a predetermined relationship being greater than a threshold is extracted from all intimacy sets. At least one of the preset APP and related information of the preset APP is pushed to the corresponding user terminal of the friend user corresponding to each intimacy set in the extracted at least one intimacy set.