Building a Best Choice Recommendation

Raymond Bisdorff

Chapter Chapter 4 in Algorithmic Decision Making with Python Resources, 2022, pp 41-54 from Springer

Abstract: Abstract This chapter presents the Rubis best choice recommender system. Our approach is illustrated with a best office location selection problem. We show how to explore the given performance tableau and compute the corresponding outranking digraph. After presenting the pragmatic principles that govern our best choice recommendation algorithm we solve the best office location choice problem.

Date: 2022
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DOI: 10.1007/978-3-030-90928-4_4

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