Web personalization and personalized recommendations are recently gaining more and more interest. Companies like Amazon, Google, Netflix, The New York Times, Facebook, Twitter, … already personalize their products in different ways. If you take Google’s search results as an example. Have you ever noticed that a friend of you gets different search results as you do for the same search query? If you never have noticed just try it out it’s really worth noting. Another example are Amazon’s product recommendations which are for example based on your purchases, your product ratings and so on.
Eli Pariser explains in the following TED Talk how “human information filters” get substituted by algorithmic ones, which means how recommendation engines filter information for you. Have a look at the video is is really worth watching:
Do you know other examples of web personalization or recommendations engines? Please leave me a comment at the end of this post.
Have you ever asked yourself if why your employer is not really able to motivate you to love your work? One of the reasons why people are motivated doing what they do is because they see a purpose in their work. This fact you already see in “Maslov’s Hierarchy of Needs“. The following video demonstrates the surprising truth about what drives our motivation.
The following video visualizes some recent social media statistics interestingly. Quite impressing how social media has developed over the last year. Facebook for example has gained 200 million users in just one year. That’s incredible …
I agree that it has not become easier to control privacy specially in the scope of Facebook. I do not really know what data which I publish on Facebook stays there, do you know? Actually when posting on Facebook I keep in mind that everything that I provide is for anybody to use. This you should also keep in mind when you act on Facebook.
Here is a great video explaining how Facebook uses Hadoop and Hive to build Data Warehouses and analyse their huge ammount of data. Every day Facebook gets around 4TB+ of compressed data, which is amazing and also difficult to be analysed.
Today’s teenagers are the model of how the web will work in five years – they jump from app to app to app seamlessly.
Five years is a factor of ten in Moore’s Law, meaning that computers will be capable of far more by that time than they are today.
Within five years there will be broadband well above 100MB in performance – and distribution distinctions between TV, radio and the web will go away.
“We’re starting to make significant money off of Youtube”, content will move towards more video.
“Real time information is just as valuable as all the other information, we want it included in our search results.”
There are many companies beyond Twitter and Facebook doing real time.
“We can index real-time info now – but how do we rank it?”
It’s because of this fundamental shift towards user-generated information that people will listen more to other people than to traditional sources. Learning how to rank that “is the great challenge of the age.” Schmidt believes Google can solve that problem.
Chinese-language content, no differences between distribution channels and real time information are some very interesting topics which I really have to dive in. If you feel interested then have a look at the video of the interview:
Google Grippe-Trends (Google Flu Trends) ist nun auch in Österreich verfügbar. Auf der extra dafür eingerichteten Website kann man den derzeitigen Verlauf der Grippewelle in Österreich, sowie in viele anderen Staaten verfolgen.
Google bietet auch die Möglichkeit, die zugrunde liegenden Daten für eigene Zwecke herunterzuladen. Für jeden, der sich dafür interessiert, wie das Prinzip dahinter genau funktioniert verweise ich hier auf einen Artikel von Google (Detecting influenza epidemics using search engine query data), der in der Zeitschrift “Nature” veröffentlicht wurde. Der Artikel steht auch als PDF Dokument zur Verfügung. Weitere Informationen zu diesem Thema können auch direkt bei Google bezogen werden.