The Map of Desire is a real-time map of Paris shoppers based on Twitter activeness inward the French capital. The creators of the map claim that it uses machine-learning to rails the location as well as grade of wish alongside Parisienne shoppers inward real-time.
I'm non certain how much 'machine-learning' is truly taking place. What the map does is search geo-tagged Twitter messages posted inward Paris for a seat out of key-words associated with shopping as well as wish (e.g. 'want', 'need'). Tweets maxim that somebody has bought something are shown on the map with orangish markers as well as desires are shown inward pinkish (looking at the code for the map I mean value the white markers present when somebody swears on Twitter inward Paris).
As with all these real-time Twitter maps the map is entirely showing a pocket-size subsection of the full general population (Twitter users who portion their location). However, if this is the demographic which retailers as well as advertisers actually want to target, as well as then I approximate this variety of real-time Twitter map could last useful. At the real to the lowest degree it is an interesting visualization of Twitter activeness inward Paris.
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