Digital News Importance Scoring for Push Notifications
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Solution Overview
Problem
Current methods for determining important news items for push notifications are inaccurate due to the presence of click-bait content and rely on human assessment, which is time-consuming and biased.
Innovation Solution
A method and system that calculate importance scores for digital news items based on publication time and source weight, generating push notifications when the score exceeds a threshold, using a server that accesses news items, determines source weights, and transmits notifications to electronic devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human assessors manually select news items for push notifications, then the news selection can reflect human judgment, but the process is time-consuming and unreliable
Solution Approach 1:
The system enables automatic determination of news importance through algorithms that independently evaluate news items based on publication time and source weight, eliminating the need for human assessors to manually select news while maintaining reliable and unbiased selection
Solution Approach 2:
The patent replaces the mechanical process of human manual assessment with an automated computational system that calculates importance scores based on objective criteria (publication time and source weight), thereby eliminating time consumption and human bias while improving determination accuracy
2Productivity
If click through rate is used to determine news importance, then automated selection is achieved, but accuracy is reduced due to click-bait content skewing results
Solution Approach 1:
The patent changes the parameters used for evaluating news importance from click-through rate to a combination of publication time and source weight. This parameter change eliminates the influence of click-bait content while maintaining automated selection efficiency and improving determination accuracy through more reliable metrics
3Ease of operation
If human assessors are used to select news, then biased selection may occur, but automated methods based on CTR provide unbiased selection
Solution Approach 1:
The system performs automated news selection independently without human intervention, using objective algorithms that calculate importance scores based on publication time and source weight, thereby eliminating human bias while maintaining ease of operation and improving determination accuracy
Data Source
AI summary
A method and a system for determining an importance score associated with a digital news item, the importance score for determining push notifications to be provided to a user of an electronic device. The method comprises accessing a digital news item, the digital news item having been electronically published at a news item publication time by a digital news source, the digital news source being accessible via a communication network; determining a source weight of the digital news source; determining the importance score of the digital news item based on the news item publication time and the source weight of the corresponding digital news source; in response to the importance score of the digital news item being above an importance score threshold, generating a push notification based on the digital news item; and transmitting the push notification by the server to the electronic device.