End-to-End Modeling and Long Short-Term Memory Application in Time Series Modeling: : Modeling and Prediction of Electronic Commerce User Behavior
Abstract
References
Index Terms
- End-to-End Modeling and Long Short-Term Memory Application in Time Series Modeling: Modeling and Prediction of Electronic Commerce User Behavior
Recommendations
A comparison of multivariate and univariate time series approaches to modelling and forecasting emergency department demand in Western Australia
The model identification process for VARMA, ARMA and Winters method.Display Omitted VARMA, ARMA and Winters methods are used extensively for planning and management.Multivariate VARMA model is a reliable tool for predicting ED demand by category.It ...
Competing for Low-End Markets
Recent business research points to the fortune awaiting to be tapped in low-end markets. In this paper, we investigate how the size of the low-end market influences a firm's profits and the pioneering firm's quality choice. As low-valuation consumers ...
A Prediction Method of User Purchase Behavior Based on Bidirectional Long Short -Term Memory Neural Network Model
ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information SystemsWith the development of big data technology, predicting users’ purchasing intentions through historical data of users' purchasing behaviors has become an essential strategy for companies to carry out precision marketing and increase sales volume. The ...
Comments
Information & Contributors
Information
Published In
Publisher
IGI Global
United States
Publication History
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in