Deep Learning Based Prediction Model for the Next Purchase
Time series represent the consecutive measurements taken at equally spaced time intervals. Time series prediction uses the information in a time series to predict future values. The future value prediction is important for many business and administrative decision makers especially in e-commerce....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Stefan cel Mare University of Suceava
2020-05-01
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| Series: | Advances in Electrical and Computer Engineering |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.4316/AECE.2020.02005 |
| Summary: | Time series represent the consecutive measurements taken at equally spaced time intervals. Time
series prediction uses the information in a time series to predict future values. The future value
prediction is important for many business and administrative decision makers especially in e-commerce.
To promote business, sales prediction and sensing of future consumer behavior can help business
decision makers in marketing campaigns, budget and resource planning. In this study, deep learning
based a new prediction model has been developed for the time of next purchase in e-commerce.
The proposed model has been extensively tested and compared with RF, ARIMA, CNN and MLP using
a retail market dataset. The experimental results show that the developed model has been more
successful than RF, ARIMA, CNN and MLP to predict the time of the next purchase. |
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| ISSN: | 1582-7445 1844-7600 |