Current Page Refresh Using Reverse Recommendation Logic
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Solution Overview
Problem
Users often encounter recommended content on websites that they are not interested in, leading to a desire for more diverse and relevant information.
Innovation Solution
A method and system for refreshing current page information by obtaining user input, determining possibly-interested information through machine learning models, and displaying it based on user preferences and historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the website recommends content based on user preferences, then user engagement is improved, but users may become interested in limited types of information and lack diversity
Solution Approach 1:
The recommendation system dynamically adjusts between two modes: personalized recommendation mode (for user engagement) and reverse-information refresh mode (for diversity). The system transitions between these modes based on user interactions, allowing it to adapt to different user needs at different times
Solution Approach 2:
The system changes the parameter of information selection from purely preference-based to preference-based with reversal options. By introducing the reversal threshold parameter, the system can control the degree of deviation from user preferences, enabling it to provide both personalized and diverse information
2Ease of operation
If the website provides personalized recommendations, then user satisfaction is improved, but the system complexity increases due to multiple processing requirements
Solution Approach 1:
The system segments the information refresh function into two distinct operations: standard refresh (for personalized recommendations) and reverse refresh (for diverse information). This segmentation allows the complex system to handle different user needs through separate, well-defined processing paths
Solution Approach 2:
The reversal threshold acts as an intermediary parameter that mediates between user preferences and information diversity. It provides a simple control mechanism that bridges the gap between personalized recommendations and diverse information without requiring complex system architecture
Data Source
AI summary
The present disclosure discloses a method and system for refreshing current page information. The method may include: obtaining currently displayed information data in response to receiving an information refresh request from a user; determining possibly-interested information of the user based on the information refresh request and the currently-displayed information data; displaying the possibly-interested information of the user. The present disclosure may determine the possibly-interested information of the user based on the currently-displayed information data, and recommend data content of a different type from the currently-displayed information data to the user, which may broaden a browsing horizon of the user, and improve user experience.