Comment by EvanAnderson
1 day ago
I'd like to see an RSS item-level recommendation / discovery algorithm driven by recommendations made by a cohort of people who have similar likes to me. I wish there was a standards-based to publish a stream of my "likes" from my feed reader, and to "consume" the "likes" of others. When I add somebody's blog to my feed reader I'd expect it to pick up their "likes" (much like how people used to have a "blog roll" on their own site) and begin to consume the "feeds" from the sites they "like". It reminds me a bit of PHP's "web of trust".
Hacker News, arguably, functions in this capacity for me now. The cohort is the entire population (since we all see the same item rankings), though.
What you are describing is similar to how https://LinkLonk.com works (my side project) - when you "like" a link you get connected to the RSS feeds that posted that link and other users that also liked it. Then you get content from feeds and users that you are connected to. The more links in common you have with a feed or a user the more weight their other links have.
Do any of the web-based readers offer discovery based on matching your RSS list to other users' lists? Mine (Feedbin) doesn't, but I'd like it as an opt-in option.