#metabrainz

I'm gonna need one of you to find me an expert on Austrian cheese who can help me substitute out a few different things. :P

Or provide me with cheese.

i know nothing about austrian cheese except that i liked https://www.rupp.at/ once

Kind of wanting to make Kässpätzle, but the recipes I find like to call for Tiroler or Vorarlberger cheeses, which I can neither find nor figure out how to substitute. :P

maybe https://en.wikipedia.org/wiki/Bergk%C3%A4se#Typ... helps

ruaok: regarding the empty central space, for the time being we can show what the user recommended using "recommend recording". This can be a good indicator of what the person likes imo. Your thoughts?

moooin!

shivam-kapila: sure that seems reasonable

Good morning

[listenbrainz-server] MonkeyDo merged pull request #1314 (master…timestampformat): LB-531: Adjust timestamp format for older listens on listens page https://github.com/metabrainz/listenbrainz-serv...

moin!

[listenbrainz-server] MonkeyDo merged pull request #1319 (master…similarity-score-component): Add similarity score component https://github.com/metabrainz/listenbrainz-serv...

Mr_Monkey: ping

pong

I was working on the similar users list component

Yaaa

and was thing shall we also show similarity score in case I visit someone's else profile. I mean the similarity score will be between the similar users and the person who's profile I visited and not with me

People might confuse the score as similarity between them

and the list of users

Hm. I can see how there could be room for confusion.

Ideally, what I'd like to see when I visit a user's profile is:

1. my similarity with them

2. my similarity with their followers/followed users

Is that doable?

If we can only show the similarity between the user I'm visiting and their followers/followed (but not with me) I think that' would indeed be confusing

In which case, let's skip it until we have a good way to make it not confusing

Hmm. To show similarity with me will take two API calls (1 to fetch list of similar users, 2. To fetch scores for my list of similar users) and then extract out the scores. Not sure if its the best way

But this eliminates the confusion

WRT the first call, maybe the server can pass the list of similar users in the props, and on the front-end we only do the api call to fetch the scores

yeah. so we can keep the scores and make the necessary API fetch then

I figure that separates concerns and ensures we're only ever fetching similarity from the front-end, from the point of view of the logged in user

I think that can work

cool. thanks

We do the same thing for loading recording feedback

yep

ruaok: i read your code review

each query is a different table

i don't think it's really realistic to make all those a single query in the database

[listenbrainz-server] shivam-kapila opened pull request #1320 (master…similar-users-modal): {WIP] Add similar users modal https://github.com/metabrainz/listenbrainz-serv...

Google to Stop Selling Ads Based on Your Specific Web Browsing - WSJ https://www.wsj.com/articles/google-to-stop-sel...

iliekcomputers: then i posit that the DB structure is wrong. If we have 15 types and need 15 queries to load a user page, any load spikes will doom our db.

We won't have 15 queries.

Other events will go into the user timeline event table.

The follow and the listens need the extra queries because they're not events per se

Playlist creation will go in the user timeline event table

I guess we could create an event every time a user follows someone

But right now that would remove one query.

Let's chat about it Monday, I guess. I agree that we should come up with something that scales as the types of events grow, I don't think the number of queries right now is an issue.

Right now, agreed. It's the future i am concerned about.

Let's talk about a realistic growth plan on Monday.

Yep, sounds good to me.

ruaok: in case you are available, i remember you mentioning a task for AB in the coming week. I would like to know more about it.

Nothing definite on AB, but we shared a doc about oauth and metabrainz. Did you see that?

yup

!m outsidecontext and zas on Picard

You're doing good work, outsidecontext and zas on Picard!

thanks :)

thanks : )