PRIORITIZED INTERVENTION IN E-COMMERCE APPLICATIONS USING LOGICAL OCL SOFTWARE AGENTS (PIE)

Authors:

Shikha Singh,Manuj Darbari,Gaurav Kant Shankhdhar,

DOI NO:

https://doi.org/10.26782/jmcms.2020.06.00009

Keywords:

OCL,Multi Agent System,e-commerce application,customer query based cluster,Affinity Propagation Algorithm,

Abstract

The authors have devised a multi-agent system for management of enormous queries by the customers in an e-commerce website. The paper discusses the phenomenon of having a first visit registration of the customers, extracting the preferences as specified by the customers, accepting the queries for products and applying Affinity Propagation Algorithm in order to obtain the clusters. These clusters are the groups of customers who share common interests in buying products offered by the e-commerce website. So, now the system has segregated the similar types of queries into distinct groups. The queries are then prioritized according to the size of the clusters, that is, the biggest cluster containing maximum number of customers has greatest priority and so on. The queries belonging to same cluster (queries with same priority) are then passed through logical intervention using Object Constraint Language to maximize resource utilization and prevent double payment.   

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