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Predicting Content Decay: How I Built a Leak-Free ML Pipeline with 79M Rows of Search Data

This story is from 2026-09-08. It is preserved in the archive; the latest stories are on the live feed.

If you manage high-volume publishing, content decay is the silent killer of organic traffic. By the time you notice a drop in your dashboard, the damage is already done. For my FlyRank Machine Learning Internship capstone, I set out to solve this by building an offline analytical pipeline that pred…

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  1. 2026-09-08 18:02 · DEV Community — Machine Learning
    Predicting Content Decay: How I Built a Leak-Free ML Pipeline with 79M Rows of Search Data

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