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Embeddings based RSS recommendation system

2 pointsby m0wer4 months ago

1 comment

m0wer4 months ago
About a year ago I created rssfilter to help me out catching up with my RSS feeds.<p>I was getting too many new posts per day from HN and other sites and started not enjoying it as much. I wanted to have 50% of the posts but missing out as little as possible about the topics I&#x27;m most interested in.<p>After a year using it, I&#x27;m pretty satisfied about the results and other users are too.<p>How rssfilter works is by being a proxy to your existing RSS subscriptions. It replaces the article links to a redirect that stores what articles you open. This information is what&#x27;s used for the recommendations.<p>The embeddings of your read articles title and description are clustered. And from then on, you will only get 50% of the articles from all feeds, mostly what&#x27;s closest to your areas of interest but also some percentage of unfiltered posts to allow for discovery.<p>It can be self hosted and there is also a live version that I host. No registry, the user ID is just a random UUID.<p>You can also use the API (FastAPI btw) directly: <a href="https:&#x2F;&#x2F;rssfilter.sgn.space&#x2F;api&#x2F;docs" rel="nofollow">https:&#x2F;&#x2F;rssfilter.sgn.space&#x2F;api&#x2F;docs</a><p>Let me know if you like it!