A hybrid b2b app recommender system

Authors:
Alexandru Oprea;Thomas Hornung;Cai-Nicolas Ziegler;Holger Eggs;Georg Lausen
Affiliations:
St. Leon-Rot & SAP Research, SAP Commercial Platform, Darmstadt, Germany;Institute of Computer Science, Albert-Ludwigs-Universität, Freiburg, Germany;American Express, PAYBACK GmbH, München, Germany;St. Leon-Rot & SAP Research, SAP Commercial Platform, Darmstadt, Germany;Institute of Computer Science, Albert-Ludwigs-Universität, Freiburg, Germany
Venue:
ICWE'13 Proceedings of the 13th international conference on Web Engineering
Year:
2013

Citing 3
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Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions

IEEE Transactions on Knowledge and Data Engineering
Hybrid web recommender systems

The adaptive web
Modern Information Retrieval

Modern Information Retrieval

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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.