The Map of Desire is a real-time map of Paris shoppers based on Twitter action inward the French capital. The creators of the map claim that it uses machine-learning to rail the location in addition to grade of wish alongside Parisienne shoppers inward real-time.
I'm non certain how much 'machine-learning' is genuinely taking place. What the map does is search geo-tagged Twitter messages posted inward Paris for a expose of key-words associated with shopping in addition to wish (e.g. 'want', 'need'). Tweets maxim that somebody has bought something are shown on the map with orangish markers in addition to desires are shown inward pinkish (looking at the code for the map I mean value the white markers demo when somebody swears on Twitter inward Paris).
As with all these real-time Twitter maps the map is alone showing a minor subsection of the full general population (Twitter users who part their location). However, if this is the demographic which retailers in addition to advertisers actually want to target, in addition to thus I approximate this sort of real-time Twitter map could hold upward useful. At the rattling to the lowest degree it is an interesting visualization of Twitter action inward Paris.
