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
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