New Hybrid Techniques for Business Recommender Systems [article]

Charuta Pande, Hans Friedrich Witschel, Andreas Martin
2021 arXiv   pre-print
Besides the typical applications of recommender systems in B2C scenarios such as movie or shopping platforms, there is a rising interest in transforming the human-driven advice provided e.g. in consultancy via the use of recommender systems. We explore the special characteristics of such knowledge-based B2B services and propose a process that allows to incorporate recommender systems into them. We suggest and compare several recommender techniques that allow to incorporate the necessary
more » ... al knowledge (e.g. company demographics). These techniques are evaluated in isolation on a test set of business intelligence consultancy cases. We then identify the respective strengths of the different techniques and propose a new hybridisation strategy to combine these strengths. Our results show that the hybridisation leads to a substantial performance improvement over the individual methods.
arXiv:2109.13922v2 fatcat:e4bsph5jhrhz5m7zidwnvr3mhq