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A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles
Joint Authors
Liu, Duen-Ren
Omar, Hani
Hoang, Van Hai
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Enhancing sales and operations planning through forecasting analysis and business intelligence is demanded in many industries and enterprises.
Publishing industries usually pick attractive titles and headlines for their stories to increase sales, since popular article titles and headlines can attract readers to buy magazines.
In this paper, information retrieval techniques are adopted to extract words from article titles.
The popularity measures of article titles are then analyzed by using the search indexes obtained from Google search engine.
Backpropagation Neural Networks (BPNNs) have successfully been used to develop prediction models for sales forecasting.
In this study, we propose a novel hybrid neural network model for sales forecasting based on the prediction result of time series forecasting and the popularity of article titles.
The proposed model uses the historical sales data, popularity of article titles, and the prediction result of a time series, Autoregressive Integrated Moving Average (ARIMA) forecasting method to learn a BPNN-based forecasting model.
Our proposed forecasting model is experimentally evaluated by comparing with conventional sales prediction techniques.
The experimental result shows that our proposed forecasting method outperforms conventional techniques which do not consider the popularity of title words.
American Psychological Association (APA)
Omar, Hani& Hoang, Van Hai& Liu, Duen-Ren. 2016. A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099824
Modern Language Association (MLA)
Omar, Hani…[et al.]. A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-9.
https://search.emarefa.net/detail/BIM-1099824
American Medical Association (AMA)
Omar, Hani& Hoang, Van Hai& Liu, Duen-Ren. A Hybrid Neural Network Model for Sales Forecasting Based on ARIMA and Search Popularity of Article Titles. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1099824
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099824