Machine learning approach for finding business partners and building reciprocal relationships

被引：62
|
作者：
Mori, Junichiro [1 ]
Kajikawa, Yuya [1 ]
Kashima, Hisashi [1 ]
Sakata, Ichiro [1 ]
机构：
[1] Univ Tokyo, Bunkyo Ku, Tokyo 1138656, Japan
来源：
EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 12期
基金：
日本学术振兴会;
关键词：
Data mining; Support vector machine; Business development; SUPPORT VECTOR MACHINE; DATA-MINING APPROACH; SUPPLIER SELECTION; BANKRUPTCY PREDICTION; MANAGEMENT; STRATEGY; SYSTEM; VIEW;
D O I：
10.1016/j.eswa.2012.01.202
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Business development is vital for any firms. However, globalization and the rapid development of technologies have made it difficult to find appropriate business partners such as suppliers and customers, and build reciprocal relationships among them, while it simultaneously offers many opportunities. In this contribution, we propose AI-based approach to find plausible candidates of business partners using firm profiles and transactional relationships among them. We employ machine learning techniques to build a prediction model of customer-supplier relationships. We applied our approach to the large amount of actual business data. The results showed that our approach successfully found potential business partners with F-values of about 84% and reciprocity among them with F-values of about 77%. Using our method, we also developed the Web-based system that helps people in actual businesses to find their new business partners. These contribute to developing one's own business in the complicated, specialized and rapidly changing business environments of recent years. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码：10402 / 10407
页数：6
相关论文
共 50 条
  • [41] Diagnosing malaria from some symptoms: a machine learning approach and public health implications
    Okagbue, Hilary I.
    Oguntunde, Pelumi E.
    Obasi, Emmanuela C. M.
    Adamu, Patience I.
    Opanuga, Abiodun A.
    HEALTH AND TECHNOLOGY, 2021, 11 (01) : 23 - 37
  • [42] Novel Machine Learning Approach for Self-Aware Prediction based on the Contextual Reasoning
    Daranda, Andrius
    Dzemyda, Gintautas
    INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL, 2021, 16 (04) : 1 - 15
  • [43] Modeling dissolved oxygen concentration using machine learning techniques with dimensionality reduction approach
    Garabaghi, Farid Hassanbaki
    Benzer, Semra
    Benzer, Recep
    ENVIRONMENTAL MONITORING AND ASSESSMENT, 2023, 195 (07)
  • [44] A Study of Cross-National Differences in Happiness Factors Using Machine Learning Approach
    Saputri, Theresia Ratih Dewi
    Lee, Seok-Won
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING, 2015, 25 (9-10) : 1699 - 1702
  • [45] Machine learning-based thermal response time ahead energy demand prediction for building heating systems
    Guo, Yabin
    Wang, Jiangyu
    Chen, Huanxin
    Li, Guannan
    Liu, Jiangyan
    Xu, Chengliang
    Huang, Ronggeng
    Huang, Yao
    APPLIED ENERGY, 2018, 221 : 16 - 27
  • [46] CyberSaver - A Machine Learning Approach to Detection of Cyber Bullying
    Jia, Hii Lee
    Hameed, Vazeerudeen Abdul
    School, Muhammad Ehsan Rana
    PROCEEDINGS OF THE 2022 16TH INTERNATIONAL CONFERENCE ON UBIQUITOUS INFORMATION MANAGEMENT AND COMMUNICATION (IMCOM 2022), 2022,
  • [47] MESSAGE COLLISION IDENTIFICATION APPROACH USING MACHINE LEARNING
    Juan Pablo, Martin
    Bruno, Marengo
    Juan Pablo, Prina
    Martin Gabriel, Riolfo
    2018 ITU KALEIDOSCOPE: MACHINE LEARNING FOR A 5G FUTURE (ITU K), 2018,
  • [48] Prediction and Diagnosis of Diabetes Mellitus -A Machine Learning Approach
    Vijayan, Veena V.
    Anjali, C.
    PROCEEDINGS OF THE 2015 IEEE RECENT ADVANCES IN INTELLIGENT COMPUTATIONAL SYSTEMS (RAICS), 2015, : 122 - 127
  • [49] A machine learning approach for solving inverse Stefan problem
    Parand, Kourosh
    Javid, Ghazalsadat Ghaemi
    Jani, Mostafa
    INTERNATIONAL JOURNAL OF NONLINEAR ANALYSIS AND APPLICATIONS, 2022, 13 (02): : 2233 - 2246
  • [50] A Breakup Machine Learning Approach for Breast Cancer Prediction
    Jaikrishnan, Sabari Vishnu Jayanthan
    Chantarakasemchit, Orawan
    Meesad, Phayung
    2019 11TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE 2019), 2019,
12345