Deploying recommender system for the masses

  • Authors:

  • David Ben Shimon;Michael Friedman;Johannes Hoerle;Alexander Tsikinovsky;Roland Gude;Rodion Aluchanov

  • Affiliations:

  • Ben Gurion University of the Negev, Beer Sheva, Israel;YooChoose GmbH, Cologne, Germany;YooChoose GmbH, Cologne, Germany;YooChoose Labs Ltd, Omer, Israel;YooChoose GmbH, Cologne, Germany;YooChoose GmbH, Cologne, Germany

  • Venue:
  • Proceedings of the companion publication of the 19th international conference on Intelligent User Interfaces
  • Year:
  • 2014

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Abstract

Many small and mid-sized e-businesses wish to integrate a recommender system into their website. Integrating an existing recommender system to a website often requires certain expertise and programming efforts, thus incurs substantial investments and may not be justified by the added value of the recommender system. This demo presents a solution for integrating a recommender system as a service to an existing e-business without any programming efforts. The integration method is analogue to the way of the Google AdSense integration and the business model is adapted from the advertisements world. Initial feedback from real website owners indicates that such integration has a great benefit for both sides; the website owner and the Recommender System (RS) provider.