Common Interest Algorithm

The weighting system indicates how much interest (or avoidance) an instance has for a topic as specified by the subject tree. The value of weight for each subject tree should be a value from -1 -> 1 (inclusive), and applies to the deep-most component of the tree. We’ll call this the sentiment of the instance towards that specific level of the tree.

The common interest algorithm specifies a rough way to estimate how “aligned” in sentiment a given pair of entities are using an incomplete collection of nested topic paths ^.^ and then using heuristics to fill in the “gaps” needed for direct comparison. It takes the partially specified trees - along with estimated polarisabilities - from federated instances, combines them together, then uses that to “complete” the sentiment weights specified by users and instances so they can be directly compared to determine the common interests of each to contribute to directing users to instances correct for them.

The default option should be that users are assumed to want “general sentiment/general topic/root topic” instances (i.e. with path /), and then they can specify much more refined interests using various methods, like taking search terms and using the collected known topics for them in various languages to construct a user-friendly search function based off the common interest algorithm heuristic, or allowing direct specification of interests, for more advanced users ^.^.

The full (but slightly incomplete) details of my approximate proposed Common Interest Algorithm are in this gitlab snippet, written in poorly-organised Rust code.

Tagging the Willingness for New Users

Different instances have a different level of desire (and gatekeeping) for new users.

Some don’t allow any new users at all. Others require filling out a form and waiting for approval. Many require an email or captcha, and some don’t require anything whatsoever.

Some don’t want any new users, some do accept new users but only can handle a small number, and others are free-for-all open registration.

Many users will want the ability to create communities without needing to seek approval. For defaults on the “maximum” level of “inconvenience” an instance presenting other instances should show to the user, it makes sense for an instance to use it’s own level of “inconvenience”.

nodeinfo2 (also see here for all keys) already exists to provide some basic information, but it’s not enough for this feature ;p

As such, I suggest we instead construct a property on the main server actor, for now called instance_onboarding_meta. This is an object of the form:

{
    "accepting_new_users": bool, // if this is false, no other references need be present
    "capacity_used": float (>= 0), // Must be present, represents one-minus the remaining amount of users it can take as a fraction of total estimated capacity. Alternatively, represents an approximate fraction of resource usage. If it's >1, this implies the server is over-capacity.
     "preferred_max_users": integer (>= 0), // If present, represents the approximate maximum number of users this instance wants to host. If unset, assume unlimited but perform estimates based on the fraction. 
    "signup_requirements": {
          "captcha",
          "email",
          "approval",
     }, // Must be present, a list of the signup requirements. May need more options as new authentication and validation mechanisms are added to the various Fedi servers ^.^
     "signup_uri": "https://example.com/signup/finalized" // "final" signup page, rather than one providing alternate instance suggestions. Should take e.g. a `?username=<new username>` parameter.
}

Instance Signup Redirection Algorithm

Now that a system has been proposed for giving instances to describe how much effort it takes to sign up, how much they can really take new users, and what kind of community they’re interested in, we can use this data to construct a method to split signup across the fediverse.

We’ll describe things in terms of what happens either as the list of instance values is changed while they are polled, or finally what happens when a user actually looks for an instance ^.^. Though, a lot of the ideas are also mentioned in the Common Interest Algorithm Snippet, which also at least partially discusses some other things.

Step 1 - Candidate Instance Collation

The first step is to collate information about potential candidate instances, by making requests to the endpoints described above to instances the current instance is federated with - including itself! (it might be useful to combine all the metadata into one endpoint as well, but that’s all bikeshedding):

• instance_software - the software of each instance
• instance_focus - the list of weighted subject-trees that indicate what the community is oriented around - see the algorithm snippet for efficiently merging in information from instances without having to recalculate the full weights every time, via use of BTrees/BTreeMap.
• instance_onboarding_meta - Information about how the instance accepts new users, and it’s resources to do so.

Instances shouldn’t poll this very frequently - certainly not on every attempted user signup! - and instead should cache it and poll periodically (say, every hour or so ^.^). This avoids slamming large portions of the network.

Step 2 - Software Filtering

The next step is filtering out candidate instances running different fediverse software than ourselves.

Step 3 - User Acceptance Filtering & Weighting

Our instance should then filter out instances that aren’t accepting users, and perform the following steps to assign weights to instances (may be configurable if the user is ok with accepting more effort than our instance requires - as most users are likely to use the default settings it should be cached too):

• For each instance, if it requires more things to sign up (email when we don’t need it, etc.), then remove it from the list.

  For captcha, mark that instance with a “0.5” weight multiplier rather than eliminating it, if we don’t also require captcha.

  From a user-configurability perspective, each possible requirement to signing up can either:

  • Eliminate from the list (a user doesn’t want to deal with forms) - this is the default for things required by another instance that aren’t required by ours, except captcha
  • Reduce it’s chance of selection (as in captcha) - this is the default for instances if the respective instance has captcha but the current instance doesn’t.
  • Have no effect - this is the default if we also have a requirement.

• For each instance, if it has a preferred max user count, then calculate the current approximate user count by multiplying it by the resource usage capacity.

  Then, calculate the approximate available user slots by subtracting the approximate user count from the preferred maximum. Note that this value may be negative in the case of an overloaded server.

• Find the instance with the largest preferred max user count (if none exists, then use the current server’s user count instead, though remember that if your server does have such a preferred max count, it should be in the list). If any server has an estimated total user slots consumed greater than the maximum preferred user count, use this instead.

  Then, assume that the preferred maximum for servers with no specified maximum is approximately 2x that value. Calculate the approximate available user slots of instances without an existing preferred maximum, using this estimate in combination with the resource consumption fractions.

• For any instance with available user slots <0 - that is, overloaded servers - divide those (negative) available user slots by some value such as 4.

  If any instance has a negative number of available user slots, add the most-negative number back on to every instance’s count of available user slots, so that the smallest value is zero.

  The division by 4 (or some other number) means that all overloaded servers are avoided more than they would be if we just added the most-negative value back directly.

• Assign weights to each instance depending on their proportion of available user slots compared to the total. If the instance has already been tagged by a weight (from e.g. having captcha), then multiply by that weight.

PART 3

I do not have the patience to read all of this but I upvotes because it looks cool

I was huge into stumble upon and even though that didn’t pan out the best thing it did was start off with the easiest most basic likable subs to click to follow to craft interests C/memes C/pics C/shitpost C/food

And then you use that to expand on to relatable subs and on and on until you’ve gotten as specific as possible .

Then users have 200 subs they’ve already subscribed to and have crafted a full experience for themselves. On reddit I followed like 50 subs for the first 2 years. I often scrolled through posts ad far as a week back and got bored. The moment I expanded and started actively looking at new subs regularly I was rarely getting past the day mark on a full scroll.

We also have to get rid of the porn posts on the regular scroll. That’s something that if I want to see I don’t want it to be the default and not on my main account. Let me get my scuzball on outside of my work scroll and when I’m not sitting at a table with friends wondering why there’s strap on porn on my phone.

I’d love for you to post this as a proposal on the Lemmy GitHub.

New user here. I don’t understand code, but I like the sound of everything else.

In my “whatthefuck is the Fediverse…” stage of onboarding, I had a real hard time actually deciding where to start. Most of the advice I found was “It doesn’t matter - just pick any instance!”

…kbin looked neat, so I started there; but I downloaded Jerboa and couldn’t log in with a kbin account (which went against the whole 'you can use one chunk of the fed to engage with others!" spiel).

Okay, so I need a Lemmy account, of which there are still quite a few instances, but now I’m suspicious that my selection will actually work, so I just go with the popular one.

So, feedback from a newbie:

It would have been REALLY helpful to have a flow-chart (or questions I can click through) that started me out on deciding which platform best matched what I was after, and then work its way through the subcategories: do you like a social feed ala twitter? → Mastodon!; do you like topic-specific forums ala Reddit? → Lemmy/Kbin!; are you a waste of fucking oxygen? → exploding.heads! lol you get the point. Something to guide me through the TON of options that the fediverse represents would have been great.

I like this idea, would probably do well if proposed on the kbin codeberg as well.

I really hope we don’t force users who sign up to pick one of a few preselected communities to subscribe to. No Skip button, no option to search for other communities, you must select some communities from this small list in order to move on. I’ve seen the same pattern in habit tracker apps with preselected habits instead of communities, and likely in other contexts that I’m forgetting right now. Walk the user through a tutorial to get them up and running as soon as possible, but no option to skip it or customize anything if you’re tech-savvy and don’t like the default options, and don’t need to be handheld through. It was always incredibly annoying.

This looks great!

[…] There are also instances with varying levels of moderation, which may be encompassed in this.

I know you didn’t really touch on what the moderation aspect might involve (and maybe you have provisions for this in a section I skimmed), but ideally I would want defederation lists to be included somehow, at least as an advanced option. Does the user want/not want an instance federated with [other instance]? And then, before final instance selection, present the full list just for verification.

I very much approve the effort, which continues in comments explaining more of the idea. I also see great value in “the onboarding of new users to the fediverse, and discovery of groups, while hopefully distributing them across more instances for better load balancing and decentralization.”

It’s interesting, because I came to the rather opposite conclusion. Instead of refining the process and giving users more options, I voted for dumbing down the process and giving showing users less options. The (a bit provocant) proposal is: Don’t let people choose their server, but choose one at random.

We have two types (and the spectrum inbetween) of people who try to join lemmy: Those who understand everything and can make an informed decision, and those who understand nothing. Group 1 already finds ways to achieve their goals. This could be eased, but it exists.

People from group 2 have a less comfortable position. They are faced with lots of technical explanations of alien concepts before making an account, before they can relate what this is all about, what impacts their decisions will have.

I feel the default way to join the fediverse should be to let the fediverse make that choice for you. The fediverse can make a random choice, or use a system with attributes and weights which you proposed.

In different aspects, a random choice can be better or worse than letting users decide, who have incomplete and sometimes inaccurate information, and do not want to spend energy on the topic.

An advanced signup method with user-defined choices should still be available. The default signup way should be big and easily visible, the advanced less prominent but still available.

I wrote a more lengthy comment on why I think signup should be as quick and easy as possible here.

That sounds cool.

In the meantime:
https://fediverse.observer/
https://fedidb.org/software