Skip to Main content Skip to Navigation
Conference papers

ANOVA Based Approch for Efficient Customer Recognition: Dealing with Common Names

Abstract : This study proposes an Analysis of Variance (ANOVA) technique that focuses on the efficient recognition of customers with common names. The continuous improvement of Information and communications technologies (ICT) has led customers to have new expectations and concerns from their related organization. These new expectations bring various difficulties for organizations’ help desk to meet their customers’ needs. In this paper, we propose a technique that provides the most beneficial information to the Customer service representative that will assist in the efficient recognition of the customer. The proposed algorithm determines which features of a customer should be asked that would result in his/her prompt recognition. Moreover, to have a clean database, the framework uses the features of customers for which a standard format is available such as street address, month of birth etc. We evaluate our algorithm on synthetic dataset and demonstrate how we can recognize the right customer in the optimum manner.
Document type :
Conference papers
Complete list of metadata
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, October 19, 2016 - 2:11:17 PM
Last modification on : Thursday, March 5, 2020 - 5:40:59 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Morteza Saberi, Zahra Saberi. ANOVA Based Approch for Efficient Customer Recognition: Dealing with Common Names. 4th IFIP International Conference on Artificial Intelligence in Theory and Practice (AI 2015), Oct 2015, Daejeon, South Korea. pp.64-74, ⟨10.1007/978-3-319-25261-2_6⟩. ⟨hal-01383957⟩



Record views


Files downloads