08RanText & sentiment

Article recommender

I turned 34 short articles into TF-IDF vectors, computed cosine similarity between every pair, and listed the four most similar titles for each article.

Original tutorial by Aman Kharwal: Article Recommendation System (opens in a new tab)

What it printed in 2022

Numbers read from the saved notebook outputs. Cell numbers count every cell in the notebook, Markdown included, starting at 1.
Output	Value	Cell #
Articles	34	8
TF-IDF terms	407	8

Cell # counts every cell from the top of the notebook, Markdown included, starting at 1.

The data

A 34-row table of article summaries and titles from the tutorial author's own blog.

What I'd do differently

The code takes the second to fifth highest scores and assumes the top score is the article itself. Exclude the article by index instead, so duplicates cannot break it.
Hold out a few known related pairs and check whether they come back in the top four.