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@ -18,7 +18,7 @@ Since a long time, I'm being impressed by the `last.fm <http://last.fm>`_
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recommender system. They're *scrobbling* the music I listen to since something
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recommender system. They're *scrobbling* the music I listen to since something
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like 5 years now and the recommendations they're doing are really nice and
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like 5 years now and the recommendations they're doing are really nice and
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accurate (I discover **a lot** of new artists in my tastes listening to the
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accurate (I discover **a lot** of new artists in my tastes listening to the
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"neighbour radio".) (by the way, `here is <http://lastfm.com/user/akounet/`_
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"neighbour radio".) (by the way, `here is <http://lastfm.com/user/akounet/>`_
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my lastfm account)
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my lastfm account)
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So I decided to work on recommender systems, to better understand what is it
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So I decided to work on recommender systems, to better understand what is it
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@ -32,7 +32,7 @@ Actually, the most simple thing I thought of was the web: I'm browsing it quite
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every day and each time new content appears. I've stopped to follow `my feed
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every day and each time new content appears. I've stopped to follow `my feed
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reader <https://bitbucket.org/bruno/aspirator/>`_ because of the
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reader <https://bitbucket.org/bruno/aspirator/>`_ because of the
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information overload, and reduced drastically the number of people I follow `on
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information overload, and reduced drastically the number of people I follow `on
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twitter <http://twitter.com/ametaireau/`_.
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twitter <http://twitter.com/ametaireau/>`_.
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Too much information kills the information.
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Too much information kills the information.
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