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An AHP-based Model for Selecting Complementary Products

by Chaimae Lamaakchaoui, Abdellah Azmani, Mustapha El Jarroudi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 120 - Number 22
Year of Publication: 2015
Authors: Chaimae Lamaakchaoui, Abdellah Azmani, Mustapha El Jarroudi
10.5120/21389-4425

Chaimae Lamaakchaoui, Abdellah Azmani, Mustapha El Jarroudi . An AHP-based Model for Selecting Complementary Products. International Journal of Computer Applications. 120, 22 ( June 2015), 1-6. DOI=10.5120/21389-4425

@article{ 10.5120/21389-4425,
author = { Chaimae Lamaakchaoui, Abdellah Azmani, Mustapha El Jarroudi },
title = { An AHP-based Model for Selecting Complementary Products },
journal = { International Journal of Computer Applications },
issue_date = { June 2015 },
volume = { 120 },
number = { 22 },
month = { June },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume120/number22/21389-4425/ },
doi = { 10.5120/21389-4425 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:06:52.401147+05:30
%A Chaimae Lamaakchaoui
%A Abdellah Azmani
%A Mustapha El Jarroudi
%T An AHP-based Model for Selecting Complementary Products
%J International Journal of Computer Applications
%@ 0975-8887
%V 120
%N 22
%P 1-6
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The main purpose of recommender systems is to assist consumers find products and services they are interested in. When having already purchased one product, it is likely that the consumer may look for complementary products to the bought one. This paper proposes an Analytic Hierarchy Process (AHP) based model to help customers find the best complementary products. The selection of the best products is done according to certain criteria, which are evaluated and ranked in order to determine the criteria that drives one customer to cross sell.

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Index Terms

Computer Science
Information Sciences

Keywords

Recommendation system decision criteria cross-sell Analytic Hierarchy Process.

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