Not at this time. I built the For You feed to be flexible for both signed in and not-signed in users. I can look into adding it as a feature, but it may take a while because Im working to finish the native mobile apps at the moment
The recommendation engine is 100% private and on-device + it can be turned off via settings. It's novel and more experimental, but I wanted it to be available for folks to get more relevant content
For the remove duplicate posts feature, it keeps whichever is 1st in the feed (so it depends which sort method is used). It only applies for posts with the same title and from the same OP. Another experimental feature, but this has been a particular point of annoyance that I've heard from folks (i.e. the same exact post filling up a feed)
Not open source (at least yet). Quiblr has been a side project for me and I've never managed an open source project before lol I'm talking with a buddy on how that could work though because he manages a few open source projects
Also, I added an about page in Settings >> For You >> Learn More
Thanks a bunch! 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.
To answer your question(s), there are quite a few signals that big tech uses to recommend content. Not all of them are privacy invasive (or at least they don't HAVE to be). 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.
Edit: grammar
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
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!
You make great points. I think this should be one of the top goals for frontend Lemmy devs. Most users are not super technical. The fediverse (lemmy included) should work with minimal friction to be accessible.
If you're open to it, I'd love to get your feedback on my Lemmy frontend's onboarding and overall user experience. I've been trying to make it simple, effective, and accessible. I can DM you!
This is a fascinating read and very relevant given that Meta is moving closer to connecting Threads (per OP). The article gives a good example with How Google killed XMPP
I wonder who is funding such efforts 🤔
I’ll upvote this, but I refuse to comment
I’m not going to lie. I can’t keep up with all this. He’s CEO, he’s fired, he’s rehired, he’s not actually rehired, he now works at Microsoft. Talk about a crazy weekend
Everyone. NO EXCEPTION
This dude is straight up frying avocado and rice
Ahh I see. If that happens in the future, you can also click the 3 dots on the post and press "Show Less". It will add more weight so it rise up in the For You feed