Researchers created an algorithm that successfully predicted consumer purchases. The algorithm made use of data from the consumers’ daily activity on social media. Brands could use this to analyze potential customers. The researchers’ method combines powerful statistical modeling techniques with machine learning-based image recognition.
For the first time, researchers have demonstrated a skew in the delivery of political ads based on the content of those ads alone.
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RMIT uses Foursquare check-ins to predict drug busts.
Using information from ten different cities around the world, the researchers, led by the University of Cambridge, have developed a model that can predict with 80% accuracy whether a new business will fail within six months. The results will be presented at the ACM Conference on Pervasive and Ubiquitous Computing (Ubicomp), taking place this week in Singapore.