Citation

Lim, Zhou Yi and Ong, Lee Yeng and Leow, Meng Chew (2021) Experimental Study on Predictive Modeling in the Gamification Marketing Application. In: International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, 26-29 July 2021, Kuala Lumpur, Malaysia.

Full text not available from this repository.

Abstract

Nowadays, many companies are using the gamification approach to promote their products in digital marketing. A gamification marketing approach can only be more effective if the companies can understand their customers’ behaviors through their navigation patterns. Once their behaviors are known by the companies, the appropriate enhancements can be made to improve the marketing strategy. This paper aims to analyze the navigation patterns of the customers based on customer engagement metrics of the time spent on page and visit frequency of each page. Based on these engagement metrics, the action sequences of customers are generated and then evaluated. A sequence model is created to predict the subsequent actions of the customers and to determine the likelihood of using the gamification marketing application. The sequence algorithms, Markov model, and Recurrent Neural Network (RNN) are applied to the sequence models to analyze the customer’s navigation pattern when they are accessing the gamification marketing application.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Markov processes, Markov Model, Navigation pattern, Action prediction
Subjects:	Q Science > QA Mathematics > QA273-280 Probabilities. Mathematical statistics
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	27 Aug 2021 14:53
Last Modified:	27 Aug 2021 14:53
URII:	http://shdl.mmu.edu.my/id/eprint/9478

Downloads

Edit (login required)