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Short introduction to Vector Space Model (VSM) In information retrieval or text mining, the term frequency - inverse document frequency also called tf-idf, is

Brad Fitzpatrick recently wrote an elegant and important post about the Social Graph, a term used by Facebook to describe their social network. In his post, Fitzpatrick defines "social graph" as "the global mapping of everybody and how they're related". He went on to outline the problems with it, as well as a broad set of goals going forward. One problem is that currently you need to have different logins for different social networks. Another issue is portability and ownership of an individual's information, explicitly and implicitly revealed while using social networks. As was recently asserted in the Social...

As a Google user, you're familiar with the speed and accuracy of a Google search. How exactly does Google manage to find the right results for every query as quickly as it does? The heart of Google's search technology is PigeonRank™, a system for ranking web pages developed by Google founders Larry Page and Sergey Brin at Stanford University.

Its so fun to write oversimplified posts about such-and-such is dead. Not because its true. At best you can point out something is broken and alternatives are rising fast. But I wonder how the people behind the aging technology and...

The chumby is a compact wi-fi device that displays useful and entertaining information from the web. It can also be used as an Internet radio player, digital picture frame and alarm clock.

A Revised Taxonomy of Social Networking Data Lately I've been reading about user security and privacy -- control, really -- on social networking sites. The issues are hard and the solutions harder, but I'm seeing a lot of confusion in even forming the questions. Social networking sites deal with several different types of user data, and it's essential to separate them. Below is my taxonomy of social networking data, which I first presented at the Internet Governance Forum meeting last November, and again -- revised -- at an OECD workshop on the role of Internet intermediaries in June. * Service data is the data you give to a social networking site in order to use it. Such data might include your legal name, your age, and your credit-card number. * Disclosed data is what you post on your own pages: blog entries, photographs, messages, comments, and so on. * Entrusted data is what you post on other people's pages. It's basically the same stuff as disclosed data, but the difference is that you don't have control over the data once you post it -- another user does. * Incidental data is what other people post about you: a paragraph about you that someone else writes, a picture of you that someone else takes and posts. Again, it's basically the same stuff as disclosed data, but the difference is that you don't have control over it, and you didn't create it in the first place. * Behavioral data is data the site collects about your habits by recording what you do and who you do it with. It might include games you play, topics you write about, news articles you access (and what that says about your political leanings), and so on. * Derived data is data about you that is derived from all the other data. For example, if 80 percent of your friends self-identify as gay, you're likely gay yourself. There are other ways to look at user data. Some of it you give to the social networking site in confidence, expecting the site to safeguard the data. Some of it you publish openly and others use it to find you. And some of it you share only within an enumerated circle of other users. At the receiving end, social networking sites can monetize all of it: generally by selling targeted advertising. Different social networking sites give users different rights for each data type. Some are always private, some can be made private, and some are always public. Some can be edited or deleted -- I know one site that allows entrusted data to be edited or deleted within a 24-hour period -- and some cannot. Some can be viewed and some cannot. It's also clear that users should have different rights with respect to each data type. We should be allowed to export, change, and delete disclosed data, even if the social networking sites don't want us to. It's less clear what rights we have for entrusted data -- and far less clear for incidental data. If you post pictures from a party with me in them, can I demand you remove those pictures -- or at least blur out my face? (Go look up the conviction of three Google executives in Italian court over a YouTube video.) And what about behavioral data? It's frequently a critical part of a social networking site's business model. We often don't mind if a site uses it to target advertisements, but are less sanguine when it sells data to third parties. As we continue our conversations about what sorts of fundamental rights people have with respect to their data, and more countries contemplate regulation on social networking sites and user data, it will be important to keep this taxonomy in mind. The sorts of things that would be suitable for one type of data might be completely unworkable and inappropriate for another.

For the German LWA conference our institute is hosting in October we are using BibSonomy as central tool to manage the accepted papers. We also offer interesting services to the conference participants which are partially based on BibSonomy. Therefore, we released some intermediate features today in a smaller release (the next regular release is scheduled for September 22th): * Publications having a crossref field are now linked to the BibTeX key that is referenced. E.g., this post references the post with the key eisterlehner2009ecmlpkdd. * On BibSonomy's web pages the authors of a post are now separated by "," (instead of "and"). Only the last author is separated by "and". * All textareas now have a bar at the bottom with that you can resize them. * You can now enter an "institution" for your profile which also appears on the CV page. * Two new links in your myBibSonomy menu: myPrivatePosts and myCV. * And last but not least: you can now upload a photo for your CV. Longer explanations of those new features will follow in the next weeks, for now I will quickly explain how to upload a photo for your CV. Just go to the settings page and there to the section a picture for my cv. With the file choose dialog select a photo from your local file system which shall represent you in BibSonomy. Then press the upload button. The photo is then visible on your CV page - for you only, for your friends or for everybody - depending on the setting of profile viewable for on the settings page. Here you can see as an example Andreas' CV:

In our previous post we have discussed six new BibTeX entry types that have been implemented in BibSonomy. This time we will focus on one of those types: “electronic”. The type "electronic" allows you to store references to resources on the web as BibTeX. Of course the more natural (and comfortable) way of storing references to such resources in BibSonomy is using bookmarks. To make those bookmarked references available as BibTeX we have included a BibTeX export for bookmarks: Simply add “/bookbib” to any BibSonomy URL to get BibTeX entries of all bookmarked resources of the page. For example while http://www.bibsonomy.org/tag/puma shows you a collection of bookmarks and publications with the tag “puma” http://www.bibsonomy.org/bookbib/tag/puma will give you all BibTeX entries to all the bookmarked resources of said collection.