Combined artificial bee colony algorithm and machine learning techniques for prediction of online consumer repurchase intention
Affiliation
Xavier Institute of Management, Bhubaneswar, IndiaBML Munjal University
Indian Institute of Information Technology & Management, Gwalior (Madhya Pradesh), India
Thapar University Patiala, Punjab, India
Issue Date
2017-05-30
Metadata
Show full item recordAbstract
A novel paradigm in the service sector i.e. services through the web is a progressive mechanism for rendering offerings over diverse environments. Internet provides huge opportunities for companies to provide personalized online services to their customers. But prompt novel web services introduction may unfavorably affect the quality and user gratification. Subsequently, prediction of the consumer intention is of supreme importance in selecting the web services for an application. The aim of study is to predict online consumer repurchase intention and to achieve this objective a hybrid approach which a combination of machine learning techniques and Artificial Bee Colony (ABC) algorithm has been used. The study is divided into three phases. Initially, shopping mall and consumer characteristic’s for repurchase intention has been identified through extensive literature review. Secondly, ABC has been used to determine the feature selection of consumers’ characteristics and shopping malls’ attributes (with > 0.1 threshold value) for the prediction model. Finally, validation using K-fold cross has been employed to measure the best classification model robustness. The classification models viz., Decision Trees (C5.0), AdaBoost, Random Forest (RF), Support Vector Machine (SVM) and Neural Network (NN), are utilized for prediction of consumer purchase intention. Performance evaluation of identified models on training-testing partitions (70-30%) of the data set, shows that AdaBoost method outperforms other classification models with sensitivity and accuracy of 0.95 and 97.58% respectively, on testing data set. This study is a revolutionary attempt that considers both, shopping mall and consumer characteristics in examine the consumer purchase intention.Citation
Kumar, A. et al (2017) ‘Combined artificial bee colony algorithm and machine learning techniques for prediction of online consumer repurchase intention’, Neural Computing and Applications. Doi: 10.1007/s00521-017-3047-zPublisher
SpringerJournal
Neural Computing and ApplicationsDOI
10.1007/s00521-017-3047-zAdditional Links
http://link.springer.com/10.1007/s00521-017-3047-zType
ArticleLanguage
enISSN
0941-06431433-3058
ae974a485f413a2113503eed53cd6c53
10.1007/s00521-017-3047-z