Language processing gets me an immediate answer to, "hey, I'm looking for a cute date spot with pizza, high quality pizza but where you still eat it as slices".
That's a massive benefit.
that's still so many words, though, and i'm a lazy person. i want to just type "pizza" and, if it's a really fancy app, hit a single button to filter by "casual" "takeout" "formal" etc
But if they're training it on the reviews people leave as well as on the user-submitted photos, I see no reason why it wouldn't.
After all, when I do an analagous query about historical events or technological products in Google Bard it works just fine.
We don’t have the ability to extract the ideas you’re discussing from photos imo.
After the long walk to the third restaurant, I looked closely through the results to see why Google was giving me useless results. It was reviews! It had matched variations on "Great food but no vegan options."
I'm sure Google Maps used to have a "Cuisine" filter, which isn't really correct in this case but is a lot closer than what they're doing now.
But a lot of the time you're looking for things like "cute date spot", "trendy", "chill atmopshere", "cozy", "good for a large birthday group", and so forth.
There aren't filters for these. That's my whole point.
There's a ton of information that can be gleaned from people's reviews and photos, but that simply aren't exposed in anything filterable. And keyword search often isn't available but also doesn't often work -- e.g. searching for "budget" gives you lots of reviews that say "definitely not budget". But AI is perfect for this.
Extremely unreliable information. Isn't that made worse if what you're looking for is subjective descriptors like "cozy", "chill", "cute", etc? Those are the kinds of things that there won't be a lot of agreement on.
There's enough common agreement on what cozy or chill mean. There's plenty of signal in the noise of reviews.
> There's enough common agreement on what cozy or chill mean.
Maybe? I don't know. I do know that I often see people using the same subjective descriptors in ways that are contradictory to each other. What one person thinks is "cozy", another person thinks it "claustrophobic", for instance. Unless you know the mindset of the person using those sorts of words, it's hard to know how to interpret them.
you can't glean good information from that, not about the people but about the restaurant?