2,970 karma · joined July 25, 2012
See for instance: https://philhawthorne.com/making-dumb-dishwashers-and-washin...
From their site: Heat your home with cloud servers!
The CloudBox contains powerful servers, used by companies and researchers for their computations. The produced heat is used to heat up the water in your home. You get free hot water and save on your gas bill. And you contribute to an enormous reduction of CO2 emissions!
I think that’s a really nice concept!
One of the early users of MINIX was Linus Torvalds. He began modifying MINIX to add new features that he thought were needed. Over a period of time he had modified almost everything and launched it as a new operating system, Linux. It is fairly safe to say that had I not written MINIX there would have been no Linux.
I'm missing 'authority' as way to improve conversion. Funny that they use it themselves in two ways: letting PWC check the results and, in a milder form, using a scientific way of communicating the results (LaTeX, article layout etc). The impact would have been less if it was just a blog post :-). I'm curious about results on authority, maybe someone from qubit can give us some insights on that?
At my company[0] we offer a solution to sites to implement these strategies through notifications/nudges. Having said that: we firmly believe in A/B testing but we believe even more in recognizing (we do that through machine learning) what technique works best on a personal level. This means that a site can have, for example, two strategies and that we apply none, either one or both on the visitor. That way you can reach higher uplifts.
Microsoft's service is much more consistent and accurate (I've tested the same images...): https://azure.microsoft.com/en-us/services/cognitive-service...
What's the added value of Tweeple Search?
The even got a cease and desist letter from FB.
Is stack overflow ok with having their answers inside an IDE? This decreases the number of pageviews on SO for each installed client. Is that something you guys checked?
"We were working to disclose the bug as quickly as possible, but wanted to clean up search engine caches before it became public because we felt we had a duty of care to ensure that this private information was removed from public view. We were comfortable that we had time as Google Project Zero initially gave us a 90 day disclosure window (as can still be seen in their incident tracker), however after a couple of days, they informed us that they felt that 7 days was more appropriate. Google Project Zero ended up disclosing this information after only 6 days."
https://en.m.wikipedia.org/wiki/Extinction_(psychology)#Exti...
The things you draw here is new input for their model.
Same holds for famous artists: talk to their parents and they probably say that he/she was always singing with a fake microphone in front of a mirror. 90% of the kids do that...
During my econometrics study this explanation helped me to explain it to others without going in to the mathematical details:
- Person A needs to decide what the best strategy is for all strategies of B (circle, on paper, the outcomes for A)
- Person B has to do the same (circle as well)
NE => look for 'box' (ie. outcome) that has two circles (there could be more!)
This leads to (confess, confess).
It's lightweight (and thus fast!) and curated by a reliable news source.
It gives, at any given moment, the 10 most important news items. Try that on a news site.
I use it more than a dozen times a day...
Migrating away from GMail for privacy reasons and he still ends up with Google for functionality...
5^3 (5 choices and max 3 clicks) makes 125 possibilities and will cover most questions (if not all).
It made the support questions drop with 90% with the same customer satisfaction if not more.
TL;DR: People don't read FAQs, make them pick the correct subject for contacting you while showing answers to common questions. It will decrease support questions with 90% (n=1 though).
Regarding the example picture I gave: that's the difference between substitutes and complementary products. The example gives alternatives (other straws...). We're building a way to have recommendations on these two types.
Why TF-IDF works better vs buys? A set of bought products holds no to little similarities between those products, it's better to use it for complementary products.
Why TF-IDF works better vs clicks? Click paths on sites are more random than you think. Combining click data with TF-IDF makes more sense.
As said: TF-IDF as a first filter and using CF as sorting could be the most optimal for substitute products. Complementary products should rely more on CF.
A problem with clicks/buys only is that new products tend to get overlooked, you can fix that by mixing in TF-IDF.