e-ISSN 2231-8542
ISSN 1511-3701
Lasmy, Chowanda, A., Herman, R. T. and Notoatmojo, B.
Pertanika Journal of Tropical Agricultural Science, Volume 24, Issue S, July 2016
Keywords: Customer purchase behaviour, Hidden Markov Model, Facebook datasets, strategic management, computational prediction model
Published on: 25 Nov 2016
In this research article, we present our work on building computational prediction models to dynamically predict users' purchase behaviours by implementing Hidden Markov Models (HMM). The models can be used by decision makers in a company to develop a strategy (e.g. marketing, products development) based on the prediction results. We evaluate the model using our datasets of Facebook. We collected the data by utilising Facebook API. Furthermore, we implemented a Hidden Markov Model (HMM) algorithm to the datasets to provide a dynamic prediction of customers' purchase behaviours over time. In the preliminary evaluation, we implemented our model to the datasets with t=2. In our datasets, we found that the category, electronics, was the most favourite topic to discuss, share and like regarding electronics. Interestingly, we found that a positive direction for its trend appeared in the second run of the model.
ISSN 1511-3701
e-ISSN 2231-8542