National Repository of Grey Literature 1 records found  Search took 0.01 seconds. 
Prediction of Shopper Behaviour
Kačo, Adam ; Španěl, Michal (referee) ; Beran, Vítězslav (advisor)
The aim of this work is to create a model for predicting the behavior of those leaving. Such a model has many applications, both for brick-and-mortar stores and online stores. Benefits include, for example, customer satisfaction and comfort. In more detail, I am describing the basic issue of predicting the next products. I am describing recommender systems as a whole, as well as their basic categorization and the basics of the individual models of the recommender systems. I am describing model, that I have created, for the dataset, that I chose to use and a procedure for working with the given model to predict the next purchase. I am also presentimg the procedure of our implementation in detail, as well as the results of testing.

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