Information Pushing via User Influence and Relationship Strength
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Solution Overview
Problem
Current methods for pushing application program information to users rely on predetermined scoring models, which limit the acquisition of new users and result in low information pushing efficiency and reduced advertisement budget benefits.
Innovation Solution
A method and device that select users based on relationship strength and influence among multiple users, rather than solely on predetermined scores, to increase the conversion of users into application program users and enhance information pushing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a predetermined scoring model is used to directly select users for information pushing, then the selection process is simple and fast, but the information pushing efficiency is low and advertisement budget benefits are reduced
Solution Approach 1:
The user selection process is divided into multiple stages: first obtaining an initial set of users based on predetermined conditions, then performing multi-dimensional evaluation (relationship strength, influence, activity status) to identify key opinion leaders, and finally selecting target users from this refined set. This segmentation transforms a single complex selection into manageable sequential steps, improving efficiency without overwhelming complexity
Solution Approach 2:
The patent introduces multiple evaluation dimensions beyond traditional scoring models, including relationship strength (social connections), influence (impact on others), and activity status (engagement level). By adding these dimensional filters, the system identifies users with higher conversion potential, thereby improving information pushing efficiency through multi-criteria evaluation rather than relying solely on historical scoring data
2Quantity of substance
If users are selected based solely on predetermined scoring models, then the selection criteria are clear and objective, but additional users who could be converted into application program users are missed
Solution Approach 1:
The patent introduces key opinion leaders as intermediaries between the information pushing system and potential users. These KOLs are identified through multi-dimensional evaluation and serve as mediators who can influence their social connections to convert into application users. This intermediary approach expands the reachable user base while maintaining selection accuracy through the KOL influence mechanism
Solution Approach 2:
The system performs preliminary identification and evaluation of key opinion leaders before the actual information pushing. By pre-screening users based on relationship strength, influence, and activity status, the system prepares a refined set of potential KOLs who can then effectively promote the application to their networks, thereby increasing the quantity of convertible users while maintaining precise selection criteria
Data Source
AI summary
The present disclosure discloses a method and device for pushing information to a target user. One example method includes identifying a plurality of users that meet a predetermined condition; selecting a target user from the identified users to be provided with information, where in the target user is selected based on a relationship strength and an influence of the identified users; and transmitting the information to the determined target user over a network, and relates to the field of information technologies.