[video] – The Filter Bubble – From Human to Algorithmic Gatekeepers

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.

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Video by Google on K-Means Clustering

Recently I was searching for good ressources explaining the k-means clustering algorithm. I found the following video from Google Research on YouTube. It explains the K-Means clustering algorithm quite well.