newsboat-recommender

Enjoy RSS feeds on newsboat with machine learning recommendations based on your interest!

Instructions:

1. Setup a virtual environment and install numpy and sklearn and sentence-transformers
2. in newsboat, use ctrl+e to set a flag and over the time, set the flag to s for those articles which pique your interest 
3. Once you have collected 200-300 articles suited to your interest, run python learn_preferences.py ~/.newsboat/cache.db (or any db file you use actively). This is a time consuming process if you have lots of articles in your database.
4. In your newsboat URL file, set up a query feed to filter the flags 'cer'. In this filter, your recommended
   articles will pop up as unread.
5. Once this is done, you can run generate_recommendations.py ~/.newsboat/cache.db to update your database with the recommendations.
6. Then your recommendations will be in the filter set up in 4)

Query Feed Setup

Twitter RSS feed recommendation Generation

Thanks

Thanks to https://github.com/karpathy/arxiv-sanity-preserver. Most of the logic was taken from here.