Visit this app on my raspberry
Scrollsurf lets you scroll through wikipedia article abstracts, like/dislike them, and visit the full articles on wikipedia itself. The articles that it shows you are randomly selected from these datasets:
npm installBefore you run the app for the first time, you have to download the datasets that you want using the provided package scripts. The downloads take a long time, but one dataset is enough to run the app:
npm run download-vital-50000
npm run download-unusual
npm run download-good-articles
npm run download-featured-articles
npm run download-featured-pictures
npm run download-commons-featured-picturesThen, you can categorize the articles by running
npm run categorizeCurrently, that's not very useful - it just builds a huge category tree that you can look at. After downloading at least one dataset, you can
npm run devand go to http://localhost:3000
Check out the Diary!
Next, I want to think about a way to make article selection less random by using your liked/disliked articles in some way.
These Main topic classifications are not what I have