Interest Strength Based Push Task Selection
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Solution Overview
Problem
Conventional methods for pushing target information through microblogging often result in a low delivery quality, as users receive a large amount of irrelevant information, leading to many informative messages being overlooked.
Innovation Solution
A method and apparatus that determine the strength of interest of users in target information and prioritize push tasks with the highest interest or above a predetermined threshold, ensuring that only relevant messages are pushed to users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all target information is pushed to users, then information coverage is improved, but information quality deteriorates due to irrelevant content overwhelming users
Solution Approach 1:
The patent applies local quality by differentiating the treatment of different pieces of target information based on their relevance to users. Instead of uniformly pushing all information, the system identifies and pushes only those pieces with high relevance (strong interest strength) to each user, thereby improving information quality while maintaining coverage through selective pushing.
Solution Approach 2:
The patent changes the parameter of interest strength from a binary state (interested/not interested) to a continuous spectrum. By measuring and comparing interest strength values, the system dynamically determines which information to push, enabling fine-grained control over information delivery quality while maintaining comprehensive coverage.
2Loss of information
If multiple pieces of target information are pushed to users, then information completeness is improved, but user attention span is reduced causing important messages to be overlooked
Solution Approach 1:
The patent extracts only the most relevant pieces of target information from the complete set and pushes those specifically. By taking out and pushing only the top-ranked information based on interest strength, the system ensures users see the most important messages first, maintaining completeness of critical information while respecting user attention limits.
Solution Approach 2:
The patent applies partial action by pushing only a subset of target information (those with strong interest strength) rather than all information. This partial pushing strategy ensures that the pushed information is highly relevant and likely to be read, while the system can push additional information to users who demonstrate continued interest.
3Device complexity
If conventional push methods are used, then system simplicity is maintained, but push quality deteriorates due to lack of user interest assessment
Solution Approach 1:
The patent implements self-service by having the system automatically assess user interest strength and determine push tasks without manual intervention. The server autonomously measures interest strength, compares it against thresholds, and selects push tasks, maintaining system simplicity while dramatically improving push quality through automated intelligent decision-making.
Data Source
AI summary
A method and an apparatus for pushing target information belong to the field of Internet applications. The method includes: determining, according to target information, a user meeting a condition; determining, for each determined user, a target identifier of the target information and strength of interest of the user in the target information as a push task for the user; determining a push task having the greatest strength of interest or a push task whose strength of interest is greater than a predetermined strength threshold as a target push task; and pushing a target push message corresponding to the target push task to the user. In the present disclosure, a target push task is determined according to strength of interest of a user in a push task, a target push message is determined according to the target push task, and the target push message is pushed to the user.