A Hybrid B2B App Recommender System

  • Alexandru Oprea
  • Thomas Hornung
  • Cai-Nicolas Ziegler
  • Holger Eggs
  • Georg Lausen
Conference paper

DOI: 10.1007/978-3-642-39200-9_42

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7977)
Cite this paper as:
Oprea A., Hornung T., Ziegler CN., Eggs H., Lausen G. (2013) A Hybrid B2B App Recommender System. In: Daniel F., Dolog P., Li Q. (eds) Web Engineering. ICWE 2013. Lecture Notes in Computer Science, vol 7977. Springer, Berlin, Heidelberg

Abstract

Recommender systems are integral to B2C e-commerce, with little use so far in B2B. We present a live recommender system that operates in a domain where users are companies and the products being recommended B2B apps. Besides operating in an entire new domain, the SAP Store recommender is based on a weighted hybrid design, making use of a novel confidence-based weighting scheme for combining ratings. Evaluations have shown that our system performs significantly better than a top-seller recommender benchmark.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alexandru Oprea
    • 1
  • Thomas Hornung
    • 2
  • Cai-Nicolas Ziegler
    • 3
  • Holger Eggs
    • 1
  • Georg Lausen
    • 2
  1. 1.St. Leon-Rot & SAP ResearchSAP Commercial PlatformDarmstadtGermany
  2. 2.Institute of Computer ScienceAlbert-Ludwigs-UniversitätFreiburgGermany
  3. 3.American Express, PAYBACK GmbHMünchenGermany

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