https://sqlperformance.com/2017/01/t-sql-queries/surprises-a...
546 karma · joined February 3, 2015
https://sqlperformance.com/2017/01/t-sql-queries/surprises-a...
https://news.ycombinator.com/item?id=18535748
"This one is funny, and has a couple of obvious solutions that have been prevented due to internal politics. The short answer is that they have a couple of different recommender systems, all competing against each other internally for sales lift. One is purely based off of pageviews. When you get recommendations for something you already bought, many times it is because you looked at it, but they don't know nor care if you already bought it. In their words, it works really well and accounting for sales brings in a lot of needless complexity.
Another is based off of sales. They also don't care if you already bought it because according to them, it works well. I remember trying to point out to them that for some types of products (specifically consumable products) this would work really well, but durables not so much. They claimed otherwise, that although they couldn't explain it, it was entirely common for people to rebuy things like vacuum cleaners and TVs and kitchen knives. I did a tiny bit of research to show them why they thought that, and proved with a small segment (vacuum cleaners, I believe), that after you filter for returns and replacements, that the probability of sequentially buying two of the same vacuum cleaner was effectively zero. They asked me to do it for the rest of their products, but I didn't have limitless time to spend on helping another team, especially one with a PM who was a complete dick to me for having the audacity to make a suggestion that he hadn't thought of.
In all, I believe there are a dozen or so recommender services, each with their own widget. There are tons of people that think all of the recommenders have merits in some areas and drawbacks in others, and the customer would be better off if they merged concepts into a single recommender system. But they all compete for sales lift, they all think their system is better than the other systems, and they refuse to merge concepts or incorporate outside ideas because they all believe they are fundamentally superior to the other recommenders. Just a small anecdotal glimpse at the hilariously counterproductive internal politics at Amazon."
It seems Ford CEO thinks they can collect and monetize drivers data: -- So the case I would make is that we have as much data in the future coming from vehicles, or from users in those vehicles, or from cities talking to those vehicles, as the other competitors that you and I would be talking about that have monetizable attraction.
--The issue in the vehicle, see, is: we already know and have data on our customers. By the way, we protect this securely; they trust us. We know what people make. How do we know that? It’s because they borrow money from us. And when you ask somebody what they make, we know where they work; we know if they’re married. We know how long they’ve lived in their house, because these are all on the credit applications. We’ve never ever been challenged on how we use that. And that’s the leverage we’ve got here with the data.
I can't imagine going back not having music subscription service. I don't have to make a decision which album to buy anymore and I don't have to worry about my kids pirating music.
-- So the case I would make is that we have as much data in the future coming from vehicles, or from users in those vehicles, or from cities talking to those vehicles, as the other competitors that you and I would be talking about that have monetizable attraction.
--The issue in the vehicle, see, is: we already know and have data on our customers. By the way, we protect this securely; they trust us. We know what people make. How do we know that? It’s because they borrow money from us. And when you ask somebody what they make, we know where they work; we know if they’re married. We know how long they’ve lived in their house, because these are all on the credit applications. We’ve never ever been challenged on how we use that. And that’s the leverage we’ve got here with the data.
Best thing for you to talk to an accountant.
How is the company paying you? Are you going through an agency? If not, you might have to get an independent insurance.
"This location tracking ability has allowed Google to send reports to retailers telling them, for example, whether people who saw an ad for a lawn mower later visited or passed by a Home Depot. The location-tracking program has grown since it was first launched with only a handful of retailers. Home Depot, Express, Nissan, and Sephora have participated."
[1]https://www.washingtonpost.com/news/the-switch/wp/2017/05/23...
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GROUP BY idHe does. When he has a decent Scientific guests on his podcast, he is very deferential but when he is alone, he is very elitist.
Only in US.
const omdb = require('omdb');
Daily active users (DAUs) – DAUs were 1.18 billion on average for September 2016, an increase of 17% year-over-year. Mobile DAUs – Mobile DAUs were 1.09 billion on average for September 2016, an increase of 22% year-over-year.
I haven't seen anyone who can look after a small child and work at the same time. Either you're working or looking after the child.
On the other hand if your argument is that Yahoo should have offered discounted childcare on onsite that Marissa received, then your argument makes perfect sense.
I have to disagree with that statement. As an example, here is a system admin job posting by City of Calgary. The pay range is $77,891 - 117,609 per annum
https://recruiting.calgary.ca/psc/pdhr/EMPLOYEE/HRMS/c/HRS_H...
Database Support
Caravel was originally designed on top of Druid.io, but quickly broadened its scope to support other databases through the use of SqlAlchemy, a Python ORM that is compatible with most common databases[1].