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
Link To Document :
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