cross-posted from: https://lemmy.world/post/16102424
Hi all,
Quiblr now has personalized post feeds for Lemmy!
I haven’t seen a “recommended feed” feature anywhere else in the fediverse but I thought I would take a crack at building it!
My goal was to make a privacy-focused recommendation engine that tailors your experience based on the content you interact with. None of the data leaves your device. You don’t even need to log in for it to work
- You can turn it off or tune your feed in the settings
- Each post now also includes a show me more/less button
I would LOVE feedback from folks if you get a chance to try it out!
This was really fun to build so let me know if there are any questions!
PS: Let me know if someone else has built this feature for the fediverse - then I will change the title to not claim “the first” lol
How exactly does the algorithm work? Are there any docs?
I added an overview under Settings >> For You >> learn more
To go into a bit more detail:
It took me a while to craft the solution to make sure it was both effective + private. I was originally inspired by Canopy. They built a news aggregator with private & personalized posts a few years back and the idea sat in my head.
My approach was to do thorough research on the different signals used by big tech to make their recommendation engines, and just build ones that 1.) were possible given fediverse API limitations and 2.) private. I had to craft some novel approaches to make it work but I’m pretty happy with the outcome!
One of the biggest differences between the “big tech” approach and Quiblr’s is that most big tech does not keep data simply on your device. They store it in datacenters to build large social-webs to essentially cluster users (and push more relevant ads).
But I was able utilize many of the other signals used by big tech (e.g. communities you engage with, metadata of content you read, dwell time, post/comment/vote activity) and I designed it to work offline with no servers.