Using the Model of a Functional Rationalizer of Consumer Behavior in Recommendation Systems for Managing the Transport Activity of the Urban Population
| Autor: | Roman S. Naryshkin, Svytoslav A. Seliverstov, Yaroslav A. Seliverstov, Nikolay Podoprigora, Alexey L. Starichenkov |
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| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
education.field_of_study Computer science Transport activity business.industry Population 02 engineering and technology Recommender system 020901 industrial engineering & automation Software Smart city 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing education Software engineering business Consumer behaviour |
| Zdroj: | 2020 XXIII International Conference on Soft Computing and Measurements (SCM). |
| Popis: | An overview of existing urban software mobile applications of the transport and economic direction is given. A model of a functional rationalizer of consumer behavior is being built. The software model of the functional rationalizer of consumer behavior (SM FRCB) was developed for the first time. PMFRCB allows the user to expand the number of his preferred needs (occupations, activities) during the daily cycle through intelligent recommendations. Also, SM FRCB allows you to optimize needs (activities, activities) at the cost and rate of their use. The SM FRCB is made in Python_3 using the libraries matplotlib, collections, numpy, pyplot, mplot3d. The analysis of consumer behavior before and after using the functional rationalizer model is carried out. The graphical results of a structural analysis of the costs of old and new consumer behavior, analysis of consumer behavior within the boundaries of the theory of possibilities and the model of transport behavior of a resident before and after applying the functional rationalizer model are presented. The prospects of further improving the SM FRCB are considered. |
| Databáze: | OpenAIRE |
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