Advertisement Posting based on Consumer Behavior

Social networking and other online e-commerce sites allow consumers and sellers to communicate directly regarding their items to be purchased/sold, brands and products. The advertisements posted in these websites often not interesting to the consumers as these sites pour in unnecessary advertisements. In this paper, we have proposed a consumer behavior model using which relevant advertisements can be posted to the consumer whenever they visit the website. This model analyzes the process and activities people engage in when searching for, selecting, purchasing, using, evaluating and disposing of products and services so as to satisfy their needs and desires. We have developed a scalable prototype system based on this consumer behavior model using Hadoop Framework which selects and displays relevant advertisements in the web site to the satisfaction of the consumers. (C) 2015 The Authors. Published by Elsevier B.V.