Editorial Weight Value Assignment for Online News Importance
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Solution Overview
Problem
In online news systems, the importance of news articles determined by article generators is not effectively communicated to users, as existing systems lack a method to assign editorial weight values to articles, leading to users being unaware of the significance of the content they are viewing.
Innovation Solution
A method and system that assign an editorial weight value to online news articles based on an editorial index, using weight value lists for page and section references, allowing users to recognize the importance of articles and enabling sorting and feedback through a rating system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If article content is transmitted from article generator irrespective of importance, then all articles can be provided to users, but users cannot recognize the importance of each article
Solution Approach 1:
The patent applies preliminary action by assigning editorial weight values to articles in advance before they are transmitted to users. The article generator pre-processes articles by determining their editorial weight based on editorial index (such as front page position, section importance), and this weight information is embedded in the article data structure before transmission. This resolves the contradiction by ensuring importance information is preserved without requiring complex real-time analysis at the transmission stage.
Solution Approach 2:
The patent introduces an editorial weight value as an intermediary element that mediates between the article generator and the user. This weight value serves as a compact indicator that carries importance information from the article generator through the transmission channel to the user interface. The intermediary approach allows importance communication without requiring complex metadata or additional communication protocols.
2Loss of information
If editorial weight value is assigned to each article, then users can recognize article importance, but system complexity increases
Solution Approach 1:
The patent applies parameter changes by transforming qualitative editorial decisions (front page vs. inside page, section placement) into a quantitative parameter - the editorial weight value. This weight value is derived from the editorial index and represents article importance in a standardized numerical format. This parameter transformation simplifies the system by converting complex editorial judgment into a single assignable attribute that can be processed automatically.
Solution Approach 2:
The patent segments the editorial evaluation process into distinct components: editorial index determination (based on publication layout such as front page position), weight value list selection (mapping editorial index to weight ranges), and final weight assignment. This segmentation allows each component to be implemented independently with simple logic, reducing overall system complexity while achieving comprehensive article evaluation.
3Ease of operation
If article importance is not reflected in retrieval, then simple keyword search can be used, but users cannot retrieve articles according to importance
Solution Approach 1:
The patent applies universality by designing the editorial weight value to serve multiple functions simultaneously: it acts as an importance indicator for display, a sorting criterion for retrieval operations, and a filtering parameter for customized news feeds. The same weight value embedded in the article data structure enables all these functions without requiring separate mechanisms, thus maintaining retrieval simplicity while enabling importance-based operations.
Solution Approach 2:
The patent implements feedback by using the editorial weight value to provide importance information back to the user interface during retrieval and display operations. The weight value, originally assigned by the article generator based on editorial decisions, feeds back into the user experience by determining article ordering, highlighting, or filtering in the news portal. This feedback loop ensures importance information is preserved and utilized throughout the system.
Data Source
AI summary
A method of assigning a weight value to an online news article, and a system for executing the method are provided. A method of assigning a weight value to an online news article, includes the steps of: receiving an article content from an article providing system of an article generator, and storing the received article content in an article collection database; creating an editorial weight value of the article content via an automatic weight assigning system, the automatic weight assigning system comprising a plurality of weight value lists; and storing the editorial weight value and the article content in a news database.