Recommendation as a Service in Mergers and Acquisitions Transactions

Yu Chen Yang, Yi Syuan Ke, Weiwei Wu, Keng Pei Lin, Yong Jin

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Mergers and acquisitions (M&A) happens frequently between corporations to combine and/or transfer their ownerships, operating units and assets. The purpose of the study is to develop a service that is able to recommend a feasible M&A deal. We integrate the support vector machine model with the kernel tricks to automatically determine M&A deals. In the end of the study, our proposed technique is empirically validated, and the results show the effectiveness of the recommendation service.

Original languageEnglish
Title of host publicationHCI in Business, Government and Organizations. Information Systems and Analytics - 6th International Conference, HCIBGO 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings
EditorsFiona Fui-Hoon Nah, Keng Siau
PublisherSpringer Verlag
Pages151-159
Number of pages9
ISBN (Print)9783030223373
DOIs
Publication statusPublished - 2019
Event6th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019 - Orlando, United States
Duration: 26 Jul 201931 Jul 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11589 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference6th International Conference on HCI in Business, Government, and Organizations, HCIBGO 2019, held as part of the 21st International Conference on Human-Computer Interaction, HCI International 2019
Country/TerritoryUnited States
CityOrlando
Period26/07/1931/07/19

Keywords

  • Financial kernel
  • Machine learning
  • Mergers and acquisitions
  • Recommendation service
  • Support vector machine

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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