Influence-based approach to market basket analysis

被引：6

作者：

Monteserin, Ariel ^{[1
]}

Armentano, Marcelo G. ^{[1
]}

机构：

[1] ISISTAN Res Inst CONICET UNICEN, Campus Univ Paraje Arroyo Seco, Tandil, Argentina

来源：

INFORMATION SYSTEMS | 2018年 / 78卷

关键词：

Social influence; Market basket analysis; Credit distribution model;

D O I：

10.1016/j.is.2018.01.008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this article, we propose an approach to market basket analysis based on the notion of social influence. While traditional market basket analysis looks for combinations of products that frequently co-occur in transactions, we seek to find a set of influential products that, if bought by a customer, will increase the sales volume of the shop. We believe that customers who purchase influential products would also be influenced to purchase other products. We validated our approach with two real-world datasets collected from online shoppings and one dataset collected from a supermarket concluding that influential products identified by our approach increase the influence spread with respect to different baselines: best-selling, highest centrality, frequent sequence initiator, and most promoted products. (C) 2018 Elsevier Ltd. All rights reserved.

引用

页码：214 / 224

页数：11

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