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I second this! Sounds like an interesting read! :)
I third this!
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Content tagging in online systems has existed since at least the 1970s, with the earliest example I can think of being MEDLINE https://en.wikipedia.org/wiki/MEDLINE
metadata is not is tagging. keywords are not tagging.
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The infoboxes are created from a query to Wikidata, which you can query yourself! No scraping necessary! https://query.wikidata.org/ You'll want to learn SPARQL, but if you know SQL it's not so bad to pick up.
As far as I can tell, that is not the case, sadly. Right now it appears that only 3,975 articles have infoboxes auto-generated from Wikidata. [1] The wikitext contains something like "{{Wikidata Infobox ...}}" instead of just "{{Infobox ...}}". If you look up a popular article like Barack Obama [2], it's just a traditional hand-edited infobox. In fact, one of the first lines of data says "Vice President = Joe Biden",…
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How much content they've actually put in their tagging system is just as interesting as how the tagging system works.
And the content itself, I'd say. But yeah, I've always been impressed by how detailed and specific their tags were. That's A LOT of work! The power of porn, I guess. And as an added bonus, those tags now power AIs able to generate custom hentai on demand!
If you want to find some images by tags, you better stick with more generic ones.
Instagram's tagging system was actually really effective at categorizing content and discovery because each hashtag was treated as a node in a (giant) graph, where each node has multiple properties, including post count (number of posts using a tag), 'velocity' (number of posts using a particular tag per unit time), etc. I could write up a big post about it as I made a study of it in when I created a web app for find…
Please DO.
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Suppose you have someone who did a bunch of writing in America, then moved to Europe and became famous as an inventor there. Under your proposal, this person has both Location:Europe and Location:USA, and both Occupation:Writer and Occupation:Inventor. They therefore show up for queries for European writers and American inventors, neither of which was intended; I bet we can come up with situations where the false pos…
I think the only feature you need to express this is to be able limit a tag to the context of another tag. It's slightly different than a compound tag because each tag can still be used independently. I experimented with a system like this recently[0] that used two different tag notations that seemed to make the mixing more intuitive. I didn't have enough time to iterate on it further or build it more seriously, but…
And if you try to create a synthetic context to place both tags under, you get... compound tags, or close enough as makes no difference to me. :) I'd 1000x rather start from there, and special case it to return results for each tag individually, than start introducing spurious orderings or dependencies. (ed: maybe it would be clearer to say "composite tags", as in tags composed out of other tags?)
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We agree on the intended use of the app being more about passive consumption of a feed of interesting content, not active, thorough exploration of particular topics. I'm not sure why you think the whole hashtag system was trash because of this one aspect. Most of the evidence I see is contrary to your statements. To reiterate, the strength of the tagging system is the relationship between the tags you interact with,…
> active, thorough exploration of particular topics > discovery to the level you are describing It is not a thorough or sophisticated search-engine-type task to "use a celebrity's name as a tag to look at pictures of a celebrity". I'm whinging about this because I enjoy Instagram for (yes, largely passive) consumption of the kinds of things people post on Instagram, and I think we should be honest about the brave new…
Yea, this is the crux. Using a particular tag in your post is a prediction that people who appreciate the content clustered around that tag will like your post. A good portion of the time that is based on accuracy, but sometimes it isn't, as I already explained (especially in the most used tags). Instagram was never set up to have the specificity of a search engine.
I agree tags are less useful now, because the feedback loop is broken after Facebook's changes, but it wasn't always like this. Every point I've made is about a particular period in time, not the present.
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Many comments below are hinting at - but not naming - triplestores. "A has relationship X with B". This is how wikidata works. Learning about those and learning how to query wikidata just blew my mind.
If it isn't too much trouble, I would love to see an example of a particularly complex query that can be done on top of this...Pseudocode or just a text description is fine, it doesn't have to be precise syntax.