https://github.com/sethuiyer/newsboat-recommender

Enjoy RSS feeds with machine learning recommendations based on your interest!
https://github.com/sethuiyer/newsboat-recommender

recommender-system rss-feeds

Last synced: about 17 hours ago
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Enjoy RSS feeds with machine learning recommendations based on your interest!

• Host: GitHub
• URL: https://github.com/sethuiyer/newsboat-recommender
• Owner: sethuiyer
• License: gpl-3.0
• Created: 2021-03-20T08:46:52.000Z (almost 4 years ago)
• Default Branch: main
• Last Pushed: 2021-03-21T13:59:42.000Z (almost 4 years ago)
• Last Synced: 2024-11-09T04:32:13.128Z (about 2 months ago)
• Topics: recommender-system, rss-feeds
• Language: Python
• Homepage:
• Size: 479 KB
• Stars: 3
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# 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

![image](query_feed_setup.png)

### Twitter RSS feed recommendation Generation

![image](twitter_recommendations.png)

### Thanks

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