In this paper we propose an advanced computational intelligence solution for an an Agent-based framework for implementing blended shopping scenarios. The proposed solution meets needs recently arose in Ubiquitous Computing and Pervasive Computing as well. The work focuses on the definition of an Indoor Navigation System that guides shoppers in a shopping mall, towards the shops providing the most suitable offerings for them, in a given time window. Such system is based on a distributed algorithm that runs on a network of intelligent cells sensing both shoppers and offerings by means of the sensor devices deployed in the mall.
|Titolo:||An agent-based framework for indoor navigation in blended shopping|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||4.1.2 Proceedings con ISBN|