Title: A new perspective for decision makers to improve efficiency in social business intelligence systems for sustainable development

Authors: R. Lokeshkumar; E. Maruthavani; A. Bharathi

Addresses: School of Computer Science and Engineering, Vellore Institute of Technology, Vellore 632014, Tamil Nadu, India ' Department of Computer Science and Engineering, Karpagam Institute of Technology, Coimbatore, Tamil Nadu, India ' Department of Information Technology, Bannari Amman Institute of Technology, Sathyamangalam, Erode, Tamil Nadu, India

Abstract: Business intelligence is an umbrella term for different business overseeing forms in view of well informed choices, which prompt to make decisions at the top level inside organisations. The general system for characterising the social point of view is subject of the present open deliberation, the social information being displayed inside an information distribution centre mapping. Unquestionably, social information is by all account not the only information wellspring of the social business intelligence esteem chain however, it characterises another point of view for decision makers. Decisions are taken by humans very often during professional as well as leisure activities. It is particularly evident during surfing the internet: selecting websites to explore, choosing needed information in search engine results or deciding which product to buy in an online store. Recommender systems are electronic applications, the aim of which is to support humans in this decision making process. The article presents a solution of recommender system which helps the decision makers to make decision about the existing social business intelligence systems with the help of web personalisation techniques.

Keywords: social business intelligence; decision making; web personalisation; web usage mining; sustainable development; recommender system.

DOI: 10.1504/IJESD.2018.096868

International Journal of Environment and Sustainable Development, 2018 Vol.17 No.4, pp.404 - 416

Received: 10 May 2017
Accepted: 15 Apr 2018
Published online: 12 Dec 2018 *

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