Orange in Ubuntu 10.10

Orange is an open source data visualization tool, it seems to be quite nifty, however it is a bit tricky to get it to run under Ubuntu 10.10 (or any other Ubuntu if you’ve got Python 2.6 installed).Orange

There is a very short guide on how to add the repositories and install Orange using the Debian package management tool that Ubuntu uses. The guide does however only cover how to get the actual files on your computer on not how to get Orange to actually run.

The main problem lies in the fact that Orange assumes your Python install to be 2.5, even though it will run on newer versions.

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Social networks and media consumption

A couple of weeks ago I noticed that the vast majority of my YouTube consumption came from links people in my Twitter, Facebook, etc. feeds posted to their timelines.

This got me thinking. How is our media consumption affected by our feeds (or our friends feeds actually)? Which types of media are affected more than others? For instance, watching a YouTube video, listening to a song or reading a news article online is a relatively small effort and a small “cost” (meaning time). It’s a click away and will take ten minutes at most.

Reading a book or watching a movie on the other hand comes with a significantly higher cost. First you’ll have to get the movie or the book, and then spend a substantial period of time either reading or watching the item.

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Mahout on Hadoop in Windows

In an earlier post I described how to deploy Hadoop under Cygwin in Windows. This time I’ll show how to get Mahout running in that environment.

Getting the Mahout examples running from within your Cygwin environment is as easy as copy-pasting the commands from the Mahout wiki. Trying to get this code running not using the mahout startup script (which, at least to my understaning limits you to only using the examples bundled with Mahout) is a different story.

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Hadoop + HBase + Cygwin + Windows 7 x64

In this post I will describe how to get a Hadoop environment with HBase running in Cygwin on Windows 7 x64.

Having spent the better part of a week reading through blog posts and documentation, I found that none of them covered the process in full detail, at least not for the software versions I intended to use.

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#RecSys2010

RecoMMender Systems

If you’re reading this, you might have read my previous posts about RecSys2010, and in that case you might know that I had axtremely high expectations for this year’s RecSys conference, and I was not dissappointed.

The conference program had been extended from last year and now included two days of workshops: the first day of the conference, and the last.

The workshop taking place on the first day were CARS (the workshop on context-aware recommender systems), RSWEB (recommender systems and the social web), HetRec (the workshop on informaiton heterogeneity and fusion in recommender systems) and WOMRAD (the workshop on music recommendation and discovery), additionally this was also the day of the doctoral symposium (which I attended). This meant that for the second year in a row I could not attend the CARS workshop (I had a paper at RSWEB 2009). Luckily though, the doctoral symposium started an hour later than the workshops which presented me with the opportunity to attend the beginning of the CARS keynote which was held by Bamshad Mobasher, the topic of this was Contextual User Modeling for Recommendation and gave broad overview of the benefits of context-awareness as well as the problems involved in its usage.

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