• DocumentCode
    658651
  • Title

    Recommending Software Apps in a B2B Context

  • Author

    Ziegler, Cai-Nicolas ; Oprea, Alexandru ; Hornung, Thomas ; Eggs, Holger ; Lausen, Georg

  • Author_Institution
    American Express, PAYBACK GmbH, Munchen, Germany
  • Volume
    3
  • fYear
    2013
  • fDate
    17-20 Nov. 2013
  • Firstpage
    270
  • Lastpage
    273
  • Abstract
    Recommenders have become integral components of B2C e-commerce over the last ten years. However, there has been little use so far in B2B, in particular in research contexts. We thus present the anatomy of our live hybrid recommender system, which operates in a domain where the users are represented by companies and the products being recommended are B2B apps. Besides operating in an entire new domain, the SAP Store recommender is based on a weighted hybrid design, making use of our confidence-based weighting scheme for combining ratings. Empirical evaluations have shown that our system performs significantly better than a top-seller recommender benchmark.
  • Keywords
    electronic commerce; recommender systems; B2B apps; B2B e-commerce; B2C e-commerce; SAP Store recommender; business-to-business; busniess-to-consumer; confidence-based weighting scheme; hybrid recommender system; Accuracy; Benchmark testing; Collaboration; Companies; Databases; Industries; Recommender systems; Confidence-based Weighting; Hybrid Recommender; Recommender Systems; SAP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    978-1-4799-2902-3
  • Type

    conf

  • DOI
    10.1109/WI-IAT.2013.195
  • Filename
    6690740