I was part of the team that built exactly this. It launched in 2010. Some Googlers of that era are probably still annoyed at all the internal advertising we did to get people to seed the data. This is one of the launch announcements:
https://maps.googleblog.com/2010/11/discover-yours-local-rec...
> Google Maps shows you what the average person thinks is a good restaurant
I'm fairly sure this isn't true. At least, I still get (notably better) results searching while signed in. Couldn't tell you what the mechanism for that is these days, though. But at least back in 2010, the personalization layer was wired into ranking. You can see in the screenshots how we surfaced justifications for the rankings as well.
Pretty much immediately after launch, Google+ took over the company, the entire social network we had was made obsolete because it didn't require Real Names(tm), and a number of people who objected (including me) took down all our pseudonymous reviews. Most of the team got split off into various other projects, many in support of Google+. As best as I can tell the product was almost immediately put into maintenance mode, or at least headcount for it plummeted like 90%. Half of my local team ended up founding Niantic, later much better known for making Pokemon Go.
As for why collaborative filtering didn't take off, I can offer a few reasons. One is that honestly, the vast majority of people don't rate enough things to be able to get a lot of signal out of it. Internally we had great coverage in SF, London, New York, Tokyo, and Zurich since Geo had teams in all those places and we pushed hard to get people to rate everything, but it dropped off in a hurry elsewhere. The data eventually fills up, but it takes a while. I'm told we had 3x the volume of new reviews that Yelp had at the time, but Yelp mostly only covered the US, while Google Maps was worldwide, so density was quite low for a long time. It was probably 5-10 years before I started hearing business owners consistently talk about their Google reviews before their Yelp reviews.
Another thing is that people are really bad at using the whole rating scale. On a 1-5 scale, you'll probably find that 80% of the reviews are either 1 or 5 stars. Even more so in a real life situation where you meet the humans involved. While you can math your away around that a bit, at that point you're not getting a ton more signal than just thumbs up/down (anecdotally I've heard that's why Netflix moved away from 5 stars). And then at that point, you might be getting better signal from "were you motivated enough to rate this at all?", which is why there's the emphasis on review counts. Many people just won't review things badly unless things have gone terribly wrong. I sat in on a few UX interviews, and it was really enlightening to hear users talk about their motivations for rating things, many of which were way different than mine.
BTW I'm familiar with linkrot, but I just discovered link poisoning.
I was reading the blog post on my Android phone and saw the Maps links to Firefly and Home Restaurant. So I tapped the Home Restaurant link and it took me to the Google Maps app in my normal home position with my home in the center. I thought for a moment that maybe it confused Home restaurant with my home.
So I tapped the Back button and nothing happened. Tapped it several more times with no luck. Finally I used the ||| button and swiped Maps up to kill it.
Then I tried the Firefly link, with the same results.
On the web, both links work fine, but someone forgot to test that these old links still work on Android.
Turns out that Home Restaurant is closed, but Firefly is alive and well. Their menu looks tasty, and the FAQ is something to behold:
It's a fairly meaningless stat without knowing the number of the players at the table. At a quick glance he seems to be playing 6-max, but sometimes 3-handed. In any case 40% is within the reasonable range for 6-max.
Assuming they are playing 6 max with full tables 40% vpip is egregious and I do not see how they could have a winning strategy playing like that. (Looking at their results they are not winning).
You can sign up as an affiliate with both Booking and Expedia to get API access to their data. It's meant for people who are going to run their own hotel booking sites with Booking/Expedia content, so it's not quite as trivial as a random free signup, but it shouldn't be too hard to do for a real business. OP's site appears to be affiliated with Lexyl, which owns some other hotel booking sites, so I assume they already have this access.
That said, I would consider scraping, even with API access. In some ways the API access is both limited and binds you to their terms of service, and depending on the legalities in your jurisdiction, scraping could be more effective.
It is very common to test stolen cards at gas stations (relatively anonymous and available, and easy to just drive away if the card fails). If that car wash was attached to a gas station, fraud detection algorithms have a tendency for false positives at gas stations because of that.
On the flip side, it's somewhat difficult to buy an expensive TV without showing up on camera at some point. As methods for monetizing stolen cards go, it's pretty uncommon.
The casino has no problem just telling you, "you're too good for us". Depending on the situation and the mood of everyone involved, you may be told you're welcome to play other games, or you might just get trespassed.
Note that due to a New Jersey court ruling, casinos in Atlantic City actually can't bar people for counting cards. In general the game conditions there are worse to make up for that.
That number is probably a fantasy, likely an estimate based one the ‘damage’ and ‘lost income’ per stream from people who were probably never going to pay for it anyway.
The film industry is important. It employs millions of people in direct and indirect ways. Yes it’s a business and needs to turn a profit for shareholders, and salaries of people in that industry also pay their mortgages and put food on the table etc.
There are 15+ films released every week. Go see one in the cinema, or rent it and your enjoyment helps sow the seed for more content in future. Without it you’re stuck with YouTube influencers and grifters.
Card counters (and advantage players in general) are much less likely to tip well compared to the average gambler. The sort of people who think they're making money on a game also tend to recognize that tips cut into profits.
> Google Maps shows you what the average person thinks is a good restaurant
I'm fairly sure this isn't true. At least, I still get (notably better) results searching while signed in. Couldn't tell you what the mechanism for that is these days, though. But at least back in 2010, the personalization layer was wired into ranking. You can see in the screenshots how we surfaced justifications for the rankings as well.
Pretty much immediately after launch, Google+ took over the company, the entire social network we had was made obsolete because it didn't require Real Names(tm), and a number of people who objected (including me) took down all our pseudonymous reviews. Most of the team got split off into various other projects, many in support of Google+. As best as I can tell the product was almost immediately put into maintenance mode, or at least headcount for it plummeted like 90%. Half of my local team ended up founding Niantic, later much better known for making Pokemon Go.
As for why collaborative filtering didn't take off, I can offer a few reasons. One is that honestly, the vast majority of people don't rate enough things to be able to get a lot of signal out of it. Internally we had great coverage in SF, London, New York, Tokyo, and Zurich since Geo had teams in all those places and we pushed hard to get people to rate everything, but it dropped off in a hurry elsewhere. The data eventually fills up, but it takes a while. I'm told we had 3x the volume of new reviews that Yelp had at the time, but Yelp mostly only covered the US, while Google Maps was worldwide, so density was quite low for a long time. It was probably 5-10 years before I started hearing business owners consistently talk about their Google reviews before their Yelp reviews.
Another thing is that people are really bad at using the whole rating scale. On a 1-5 scale, you'll probably find that 80% of the reviews are either 1 or 5 stars. Even more so in a real life situation where you meet the humans involved. While you can math your away around that a bit, at that point you're not getting a ton more signal than just thumbs up/down (anecdotally I've heard that's why Netflix moved away from 5 stars). And then at that point, you might be getting better signal from "were you motivated enough to rate this at all?", which is why there's the emphasis on review counts. Many people just won't review things badly unless things have gone terribly wrong. I sat in on a few UX interviews, and it was really enlightening to hear users talk about their motivations for rating things, many of which were way different than mine.