Titlebook: Business and Consumer Analytics: New Ideas; Pablo Moscato,Natalie Jane de Vries Book 2019 Springer Nature Switzerland AG 2019 Customer ana

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https://doi.org/10.1007/978-3-540-74925-7tem are determined only by their group memberships. The accurate prediction of individual user preferences over items can be accomplished by different methodologies, such as Monte Carlo sampling or Expectation-Maximization methods, the latter resulting in a scalable algorithm which is suitable for large datasets.

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Customary

Network-Based Models for Social Recommender Systemstem are determined only by their group memberships. The accurate prediction of individual user preferences over items can be accomplished by different methodologies, such as Monte Carlo sampling or Expectation-Maximization methods, the latter resulting in a scalable algorithm which is suitable for large datasets.

COLIC

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A Memetic Algorithm for Competitive Facility Location Problemsodels. We conclude this chapter with a case study for two hypermarket chains who both want to open stores in Vienna using real world demographic data. In this study we consider six different customer behaviour scenarios and present numerical and graphical results which show the effectiveness of the presented approach.

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Pablo Moscato,Natalie Jane de VriesAn influential approach towards interdisciplinary work; bringing new computer science approaches to social science applications.First of its kind in the area of novel ideas in consumer analytics invol

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