A Hybrid B2B App Recommender System
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.
KeywordsRecommender System Cosine Similarity Cosine Similarity Measure Hybrid Recommender Modern Information Retrieval
- 3.Baeza-Yates, R.A., Ribeiro-Neto, B.A.: Modern Information Retrieval - The Concepts and Technology Behind Search, 2nd edn. Pearson Education Ltd., Harlow (2011)Google Scholar
- 4.Färber, F., May, N., Lehner, W., Große, P., Müller, I., Rauhe, H., Dees, J.: The SAP HANA Database – An Architecture Overview. IEEE Data Eng. Bull. 35(1), 28–33 (2012)Google Scholar