Service Flow Guiding via User Behavior Analysis
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Solution Overview
Problem
Existing inter-service cross-guiding methods are ineffective as they rely on passive, static approaches that fail to accurately target users interested in additional services, leading to resource waste and low guiding effectiveness.
Innovation Solution
A data-driven method that analyzes historical user behavior to predict and selectively guide users who are likely to use specific services, sending targeted notifications to increase service traffic without relying on static access portals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If static access portals are provided for inter-service cross-guiding, then service accessibility is improved, but guiding accuracy deteriorates because users cannot be specifically targeted
Solution Approach 1:
The patent transforms the static portal-based guiding approach into a dynamic user-targeted guiding system. Instead of providing fixed access portals for all users, the system dynamically identifies target users based on their service usage patterns and sends personalized guiding information only to those users who are likely to be interested in the target service, thereby improving guiding accuracy while maintaining service accessibility
Solution Approach 2:
The patent segments the user base into different groups based on their service usage behavior. By analyzing historical data, the system identifies specific user segments who are potential candidates for cross-service guiding, rather than treating all users uniformly. This segmentation enables precise targeting and improves guiding effectiveness
2Quantity of substance
If guiding information is provided to all users, then service exposure is improved, but resource waste increases due to non-specific recommendations
Solution Approach 1:
Instead of providing guiding information to all users (excessive action), the patent applies partial action by selectively providing guiding information only to the subset of users who are identified as potential targets based on their service usage patterns. This approach maintains sufficient service exposure while avoiding the resource waste associated with broad, non-specific recommendations
3Measurement precision
If user behavior data is analyzed to identify target users, then guiding precision is improved, but system complexity increases
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically analyzes user behavior data and identifies target users without requiring manual intervention. The guiding system autonomously processes historical service usage data, identifies patterns, and determines which users should receive guiding information, thereby achieving high guiding precision while managing system complexity through automation
Data Source
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AI summary
The present disclosure provides a method and an apparatus for guiding a service flow. The method includes: obtaining, for a target service, historical behavior data of a user who uses the target service; analyzing the historical behavior data to obtain a user feature used to determine a target user for service flow guiding; selecting, from users who do not use the target service, a user who satisfies the user feature as the target user; and sending service flow guiding information to the target user, to lead the target user to use the target service. In the present disclosure, guiding is more specific, so that a guiding effect can be improved.