Archived; click post to view. Excerpt: Since my blog post on Eli Pariser’s Ted talk about the filter bubble became quite popular and a lot of people seem to be interested in which 57 signals Google would use to filter search results I decided to extend the list from my article and list the signals [...]
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Archived; click post to view. Excerpt: So here we go with my first post about internet start ups. I am not sure yet weather I like their product. But the idea behind it is certainly very clever. What I like about the system is that this kind of advertising is impossible in an offline world. [...]
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Archived; click post to view. Excerpt: Google has put information about the Youtube Symphony Orchestra on its homepage! Whatch yourself: After Thomas recommended reading a paper about trending topics in twitter where it was discovered that trends can be strongly influenced by external factors (media, news) I went right away to twitter looking for the [...]
Archived; click post to view. Excerpt: Linked open data or the web of data is the main concept and idea of the semantic web proposed by Tim Berners-Lee. The semantic web is often also referred to as web3.0. But what is the difference of the Internet as we know it by now and the web [...]
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Just today an interesting story came up on a German news site which goes back to Eli Pariser’s talk on TED about a thing he calls the Filter Bubble and how personalization is changing the Internet. Before commenting on his talk I want to personally thank him to use his reputation and start a discussion on such a fundamental and important topic!
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There are some great resources on the Web about all the technical stuff related to search engine optimization. That is why I will not talk about how to craft your titles, headings and sites structure. This Article is supposed to help you to ask the correct questions and point out the correct goals for your bandpage SEO. The focus will be on keyword research and about how to choose good keywords
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Recently there was a lot of news on the Web about IBM’s natural language processing system Watson. As you might have heard right now Watson is challenging two of the best Jeopardy players in the US. A lot of news magazines compare Watson with Google which is the reason for this article. Even though the algorithms behind Watson and Google are not open source still a lot of estimates and guesses can be made about the algorithms both computer systems use in order to give intelligent answers to the questions people ask them. Based on this guesses I will explain the differences between Google and Watson.
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Collective intelligence is something that particularly on the Internet is very present. Great examples are Wikipedia, Google and most open source projects. Collective intelligence and artificial intellegence is not the same. Future articles about collective intelligence will address, discuss and explain the difference and show how to combine these concepts for maximum benefit.
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