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. © 2013 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Oprea, A., Hornung, T., Ziegler, C. N., Eggs, H., & Lausen, G. (2013). A hybrid B2B app recommender system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7977 LNCS, pp. 490–493). https://doi.org/10.1007/978-3-642-39200-9_42
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