This is a followup to my introduction of BlogOnLemmy, a simple blog frontend. If you haven't seen it, no need because I will be explaining how it works and how you can run your own BlogOnLemmy for free.

Leveraging the Federation

Having a platform to connect your content to likeminded people is invaluable. The Fediverse achieves this in a platform agnostic way, so in theory it shouldn't matter which platform we use. But platform have different userbases that interact with posts in different ways. I've always preferred the forum variety, where communities form and discussion is encouraged.

My posts are shared as original content on Lemmy, and that's who it's meant for. Choosing for a traditional blog style to make a more palatable platform for a wider audience, and in this way also promoting Lemmy.

Constraints

Starting off I did not want the upkeep of another federated instance. Not every new thing that is deployed on the Fediverse needs to

I'm wondering if anyone made a fediverse like (aka multiple instances talking to eachother) for discord?

I know matrix exists, but it's only rooms instead of servers with channels, etc...

This scoring system evaluates how decentralized and self-hostable a platform is, based on four core metrics.

📊 Scoring Metrics (Total: 100 Points)

📋 Example Breakdown (Estimates)

cross-posted from: https://lemmy.world/post/28633828

finally some simple UI, you click on browser extension "icon" and get taken to a webpage that will show you all the video that rank by cosine similarity (I just now realized has UUID when it should have shortuuid), linked below is the webpage

https://github.com/solidheron/peertube_recomendation_algorythm/blob/main/example1.PNG

above is just example with my recommendations luckily the links change colors if you've already seen them. of course the video at the top is the video I watched the longest.

other than that I been cleaning up backend stuff and ignoring minor error that pop up. it should more accurately capture watch time on peertube videos and doesn't just say you watch an hour of a video you didn't care about. probably adding a bunch of code that needs to get cleaned up.

my opinion has shifted a bit on this simple algo it seems like the videos I get tend to be random and take require me to find videos i

cross-posted from: https://lemmy.world/post/28461880

so I spent last several days making collecting watch time on both videos and livestreams more robust and work across multiple peertube instances, im sure it still has gaps in the structure so that jenk data can get in.

if you want to try it heres the link https://github.com/solidheron/peertube_recomendation_algorythm/ btw its a browser extension

so now I got two parts left that I know of first being creating the user_recomendation_vector and the function that gets recommendation based on that vector. I settle on cosine similarity vector since its easy to implement and can be run in browser with only data collected by the user device, and doesnt requires sharing outside of peertube api. user_recomendation_vector should have two part AOLR: (algorithm of last resort) which will be the words in the title, tags, and description tokenized with an float value and recomended_standard: which will be based on what category eit

So I’ve tried Mastodon, Pixelfed and didn’t like them. Mastodon is nice if you wanna ”tweet”, but that’s not for me. Pixelfed was dead.

I quit Meta because of tech bro fascism, and hated Twitter even before it was X because, let’s face it - nobody has ever changed their opinion on anything because of a Twitter conversation (I know I’m exaggerating, to get my point across). I was in Reddit for a few weeks, and the conversations there seem mostly friendly and constructive, but I decided I don’t want to have anything to do with social media corporations. Besides, I noticed I could scroll endlessly. And that’s not good for me.

Lemmy seems nice. There are still some topics I’m interested in that don’t have active communities, and I’m still learning on how to have my feed from multiple instances. But still, this is the way to go for me.

Against algorithms, against fascism, for free internet. Thanks for coming to my boring Ted talk and have a nice day.

cross-posted from: https://lemmy.world/post/28546756

So I’ve completed the cosine similarity function, which means the script is now recommending videos in a raw way. Below is just a ranking of videos that match my watch history (all three are most likely videos I’ve already watched):

2: {shortUUID: "saKY2TWfwNYgPUQFkE4xsi", similarity: 0.4955} 3: {shortUUID: "kk7x8GAs7gNvkzaPs6EPiU", similarity: 0.4099} 4: {shortUUID: "uXeAyVfX1WEzqSPsDxtH3p", similarity: 0.2829}

Getting to this point made me realize: there’s no such thing as a simple algorithm—just simple ways to collect data. The code currently has issues with collecting data properly, so that’s something that needs fixing. Hopefully, once the data collection in this script is improved, it can be reused for future Fediverse algorithms.

There are countless ways to process the data. Cosine similarity is a simple concept and easy to implement in code, but it has a flaw: content you’ve already watched tends to ran

What client do you use to interact with lemmy (or the fediverse in general)?