Event-Based Article Expiration Detection System
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Solution Overview
Problem
Content aggregators face challenges in determining when to publish articles for pre-planned events, as many lack expiration dates, leading to stale content being presented to users, which decreases engagement.
Innovation Solution
A method to detect the expiration time of articles by analyzing attributes and matching them to event identifiers, computing expiration times based on event phases, and ranking articles for relevance and freshness, ensuring only current content is presented.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If content aggregators publish articles without clear expiration dates, then the quantity of articles published increases, but the quality and relevance of content decreases due to stale articles
Solution Approach 1:
The system performs preliminary actions by computing expiration times for articles based on event phase indicators before publishing them. The expiration time is calculated using the formula: expiration time = event start time + event duration + post-event window. This preliminary computation allows the system to proactively filter out stale articles before they are published, ensuring only relevant content is presented to users while maintaining a high volume of published articles.
2Measurement precision
If content aggregators manually determine expiration times for articles, then the accuracy of expiration detection improves, but the complexity of the system increases
Solution Approach 1:
The system implements self-service by automatically computing expiration times for articles without requiring manual intervention. The expiration time computation module autonomously calculates expiration times using event phase indicators, event start times, and event durations extracted from the article attributes. This automated approach maintains high accuracy in expiration detection while avoiding the increased complexity that would result from manual determination processes.
3Ease of operation
If content aggregators present stale articles to users, then the ease of operation increases by publishing all received articles, but user engagement decreases
Solution Approach 1:
The system implements feedback by using event phase indicators to dynamically adjust article expiration times based on the current phase of the event. The expiration time computation module receives feedback about the event phase (pre-event, during-event, post-event) and adjusts the expiration time accordingly. This feedback mechanism ensures that articles remain relevant throughout different event phases, maintaining user engagement while keeping the publishing process simple and automated.
Data Source
AI summary
Methods and systems for detecting expiration time of an article include receiving the article for a pre-planned event. The article is analyzed to identify one or more attributes. The article is matched to an event identifier using the article attributes. The event identifier is pre-defined and stored in an event database. The event identifier acts as an index to the event database for obtaining event characteristics of the pre-planned event. The article attributes are examined to identify event phase indicators that correlate to a specific event phase of the pre-planned event. The expiration time of the article is computed based on the specific event phase identified for the pre-planned event. The expiration time is used to rank the article and for considering assigning the article to a content pool of articles that is selected for publishing for the specific event phase of the pre-planned event.