Recently, while reading articles, I noticed that it’s quite troublesome to find similar posts after finishing one. While researching, I also saw that many websites have sections like “Related Posts” or “You May Also Like,” which inspired me to create a “Related Posts” section on my personal site.
Since it’s about related posts, we need a way to determine which ones are similar, right? But re-tagging all posts or going through the trouble of using a classification model seems exhausting (or just plain silly?). Then I realized my articles already use tags and categories. So I thought: “Why not make use of what’s already there?” That’s why I decided to use existing metadata for classification.
Below is a guide on how to add a “Related Posts” section to each article.
Cover image generated by ChatGPT.
How to calculate distance is an important aspect of modern statistical analysis. Choosing different distance metrics may lead to different results in statistical analysis methods. The following introduces commonly used distance metrics.
The cover image about Anscombe’s Quartet was generated by ChatGPT, and it used the following prompt: “The digital design highlights the title ‘Anscombe’s Quartet’ in bold, white sans-serif letters, centered against a dynamic abstract backdrop. The image is split into four colorful quadrants, each showcasing unique textures and patterns—ranging from painterly hues and curved lines to scattered circles and dots.”
While listening to a presentation today, I happened to hear a term——Anscombe’s Quartet, a term I had never encountered before, yet it has significant implications in both statistics and data visualization.
