Intelligent Bot Architecture for e-Advertisements

Abstract

Nowadays, many businesses are engaged in Internet marketing, which is an inexpensive way to reach millions of Internet users on a target webpage. It provides a mechanism for promoting products/services via the Internet and its broader space encompasses e-marketing, e-advertising, customer relationship management and promotional activities. In this work, a mobile agent framework for Internet marketing is proposed which accomplishes the task of advertiser and ad publisher by creating an environment for aggregating advertisements and parallelizing advertiser requests for ad publishing. Mobile agents migrate over the Internet with the goal of “anytime/anywhere”. The use of mobile agents for publishing tasks reduce advertiser/user time, addresses the problem of limited bandwidth and high costs, provide flexible inter-coordination among the mobile agents to perform product marketing, and ensures efficient utilization of the available bandwidth. Here, various agent dispatch models are proposed to perform the task of ad publishing on various e-shops. The experiments show that in comparison to serial mobile agent dispatch models, the parallel dispatch model performs more efficiently. In the worst-case scenario, the time complexity for parallel dispatch of mobile agents is O (log_q p).