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For each query, DTS’s system returns up to 10 articles which are first ranked and thresholded. This ensures that the articles are relevant to the user's query in terms of content and context.
Next, DTS performed re-ranking of the articles towards of likelihood of success, leveraging historical statistics related to articles and the individual user query.
The article ranking algorithm is a calculation that assigns a score to each article based on the number of thumbs up it has received relative to the number of times it was presented to customers, as well as its view count. The algorithm is designed to give new articles a chance to rank high by considering the view count, while also rewarding popular and effective articles with higher ranking scores.
The algorithm can be represented mathematically as follows:
Ranking Score = Thumbs Up Rate * (1 + View Count Adjustment)
Where:
* ` Thumbs Up Rate = Thumbs Up Count / Presentations `
+ `Thumbs Up Count` is the total number of thumbs up received by the article
+ `Presentations` is the total number of times the article was presented to customers
* ` View Count Adjustment = 1 - (View Count / Max View Count)
+ `View Count` is the total number of views for the article
+ `Max View Count` is the maximum view count for all articles
The algorithm provides a simple yet effective way to rank articles based on their popularity and effectiveness relative to the number of times they were presented to customers. By considering the view count, new articles have a chance to rank high and gain visibility, while popular and effective articles are rewarded with higher ranking scores.