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julian
@julian@activitypub.space  ·  activity timestamp yesterday

⁂ Article

Native discovery of related tags (fedibuzz/tags.pub)

I was talking to my marketing guy about integrating a tags-based onboarding workflow for freshly installed forums.

The gist of it is, the forum admin adds a couple tags for the forum to globally follow, and achieves this via fedibuzz relay or tags.pub. Auto-categorization rules are automatically added and the forum starts receiving new (highly relevant!) posts through the magic of hashtag+federation ✨

He then asked whether it was possible to suggest related tags (e.g. add guitar suggest acousticguitar, electricguitar, etc.) for the admin to also add, to which I replied in the negative "for now".

But that got me thinking, is this something fedibuzz or tags.pub could achieve/offer in its API?[...]

I was talking to my marketing guy about integrating a tags-based onboarding workflow for freshly installed forums.

The gist of it is, the forum admin adds a couple tags for the forum to globally follow, and achieves this via fedibuzz relay or tags.pub. Auto-categorization rules are automatically added and the forum starts receiving new (highly relevant!) posts through the magic of hashtag+federation ✨

He then asked whether it was possible to suggest related tags (e.g. add guitar suggest acousticguitar, electricguitar, etc.) for the admin to also add, to which I replied in the negative "for now".

But that got me thinking, is this something fedibuzz or tags.pub could achieve/offer in its API?[...] It would require a bit of data analysis, to match up common hashtag usage, but doable maybe?

cc @evan @evan" aria-label="Profile: evan@cosocial.ca">@evan@cosocial.ca @astro@c3d2.social

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Astro
@astro@c3d2.social replied  ·  activity timestamp 21 hours ago

@julian @evan I do trends for individual hashtags only. I fear that analyzing co-occurrency is going to use much more memory than I am allowed to use on our servers in the basement.

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