Top
Best
New

Posted by justincormack 2 days ago

How Google Maps allocates survival across London's restaurants(laurenleek.substack.com)
164 points | 83 commentspage 2
tacker2000 1 day ago|
Very interesting, ive always wondered how google decides to show restaurants or other POIs if they overlap and there is a large density.

Im sure they favour the ones that use google ads, but i would not think that they are bullying places a la yelp.

Anyway its pretty crazy that nowadays your success as restaurant is so dependent on one huge platform. (… and actually, lets not forget the delivery platforms also)

NoboruWataya 1 day ago||
Nearest hidden gem to me is a Domino's Pizza...
cheesyted 1 day ago||
Someone hasn’t tried the cheesy bread!
bromuk 1 day ago||
Username checks out
lpribis 1 day ago|||
Sample of 1, but the hidden gem near me I would actually consider a "hidden gem" that only people from the area know about, and it's a very good family run business.
cons0le 1 day ago||
I'll blow your mind. Go in there and get the pasta primavera. It slaps ( to be fair you can make it at home real easy )
willtemperley 1 day ago||
I don’t think the effect Instagram and TikTok has on this attention market can be ignored. Living in a big Asian city I will check those first.
class3shock 1 day ago||
Can anyone recommend an alternative to GMaps for searching for restaurants, services, or general "discovery" near a location?
kccqzy 1 day ago|
Yelp is the classic. The old Foursquare was also good for discovering where people check in, which is basically a proxy for discovery.
0_____0 1 day ago||
I have gotten so sick of Google Maps that I've done the unthinkable, and have started walking around the city trying establishments at random.

It has yielded quite good results basically immediately. People (myself included) have gotten too used to living In The Box. Putting aside the time to just go for a walk around and pop into random shops and pubs has been wonderful.

dash2 1 day ago||
> This disproportionately rewards chains and already-central venues. Chains benefit from cross-location brand recognition. High-footfall areas generate reviews faster....

I think this is very likely false if you mean compared to the status quo ante. Before Maps, a well-loved but hard-to-find venue just wouldn't ever be seen by most people, and the absence of reviews made branding more important because it was all you had to go on. I'd be very doubtful if the proportion of independent cafes and restaurants decreases when Google Maps enters an area. (Couldn't find any causal research designs though....)

The more general point that the algorithm is not neutral (and probably never could be) must be right.

(I asked ChatGPT but it ended up with: "We have almost no clean exogenous variation in Maps rankings or feature rollouts at fine geographic scales that would let you estimate impacts on entry, survival, or market structure in a neat DiD/IV way.")

noitpmeder 1 day ago|
Who the hell cares what garbage chatgpt vomited based on your unspecified chain of prompts?
thimkerbell 1 day ago||
It's a little funny that no one is a human face of (interface to) Google Maps, or any platform with longevity these days. Talk to the faceless pretend person if you have a problem, maybe you'll feel better.
thimkerbell 1 day ago|
(they don't fix things anymore, do they?)
monerozcash 1 day ago||
At least in central London, the "underrated gems" feature does not seem to be very good at finding underrated gems.

That might just be a feature of the area though.

theahura 1 day ago||
Pretty sure this whole post is generated by AI
zem 2 days ago|
super interesting project. I would love to generate a similar list for my own neighbourhood
digitalPhonix 2 days ago|
Yeah!

> "I scraped every single restaurant in Greater London"

How hard is that now? I assumed that Google is very protective of that data

_ink_ 1 day ago||
I would be interested how this was done as well. She mentioned the was using a free tier from Google, so maybe the data is not protected.
More comments...