New Hybrid Techniques for Business Recommender Systems

Besides the typical applications of recommender systems in B2C scenarios such as movie or shopping platforms, there is a rising interest transforming human-driven advice provided, e.g., consultancy via use systems. We explore special characteristics knowledge-based B2B services and propose process that allows incorporating into them. suggest compare several techniques allow necessary contextual knowledge (e.g., company demographics). These are evaluated isolation on test set business intelligence cases. then identify respective strengths different new hybridisation strategy to combine these strengths. Our results show leads substantial performance improvement over individual methods.