Utilizing Social Stream Data to predict purchases in online marketplaces

Master Thesis

Social data – such as for instance Facebook likes – bear a great potential to increase the predictive power of Online Recommender engines, as for instance used in Amazon. The goal of this project is to implement a novel social recommender engine for online marketplaces by utilizing not only the users likes but also the users social streams.

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Christoph Trattner
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