Most recommender algorithms in use today are slow to adapt to changes in user preferences. This is because they are focused towards model-building and offline calculation of recommendations. The fact that they require large amounts of information about users before they can make sensible recommendations does not help their case either. This work proposed an adaptive prediction scheme that makes real-time recommendations to users. ...
Twitter teams with IBM for business analytics
What comes after the Social Networking wave?
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