Hui, H, McLernon, D orcid.org/0000-0002-5163-1975 and Zaidi, A (2019) Research and Innovative Design of Search Engine for Banking Industry Decision-makers. In: Proceedings of the 2018 10th International Conference on Information Management and Engineering. ICIME 2018: 10th International Conference on Information Management and Engineering, 22-24 Sep 2018, Manchester, UK. ACM , pp. 40-44. ISBN 978-1-4503-6489-8
Abstract
In order to solve the problem that General Search Engines (GSEs) involve a wide range of industries, the amount of information obtained through the search is large, information is disorderly arranged, queries are inaccurate, and it is not sufficiently professional. Based on the actual needs of the banking industry, this paper designs and develops an innovative Search Engine for Banking Industry Decision-makers (SEfBIDm). This paper presents the needs analysis, overall functional design, overall framework and workflow design of SEfBIDm. SEfBIDm can provide many functions such as a banking knowledge database, image search and analysis report. This article only gives the implementation method and workflow of typical functions of web search. SEfBIDm was deployed, tested, and operated by 69 branch decision-making agencies at the world's 10th largest bank. Decision-makers from these decision-making bodies believe that SEfBIDm is rooted in the banking industry and that it is supported by banking industry knowledge and experts, which are not available in GSEs. The information obtained from SEfBIDm has three distinct characteristics: the support of comprehensive information before decision making; the timeliness of feedback information during the execution of decisions; and the very accurate evaluation information obtained when the decision is executed.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2018 Association for Computing Machinery. This is an author produced version of a paper published in Proceedings of the 2018 10th International Conference on Information Management and Engineering. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Decision-makers; Banking Industry; Search Engine |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Robotics, Autonomous Systems & Sensing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 05 Oct 2018 10:57 |
Last Modified: | 04 Feb 2019 14:03 |
Status: | Published |
Publisher: | ACM |
Identification Number: | 10.1145/3285957.3285978 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:136695 |