@inproceedings{e88bc24a1477414f93195da21feb2e4f,
title = "Recommendation as a Service in Mergers and Acquisitions Transactions",
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.",
keywords = "Financial kernel, Machine learning, Mergers and acquisitions, Recommendation service, Support vector machine",
author = "Yang, {Yu Chen} and Ke, {Yi Syuan} and Weiwei Wu and Lin, {Keng Pei} and Yong Jin",
year = "2019",
doi = "10.1007/978-3-030-22338-0_12",
language = "English",
isbn = "9783030223373",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "151--159",
editor = "Nah, {Fiona Fui-Hoon} and Keng Siau",
booktitle = "HCI 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",
address = "Germany",
note = "6th 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 ; Conference date: 26-07-2019 Through 31-07-2019",
}