eprintid: 344
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/03/44
datestamp: 2023-11-09 15:15:58
lastmod: 2023-11-09 15:15:58
status_changed: 2023-11-09 15:14:21
type: conference_item
metadata_visibility: show
creators_name: Shu, H.T.
creators_name: Sheng, C.L.
creators_name: Hoh, S.
creators_name: Chin, C.W.
creators_name: Han, L.T.
title: An initial framework for predictive end-user application trigger
ispublished: pub
keywords: And models; Business intelligence systems; Competitive environments; Enterprise performances; Market trends; Prediction models; Specific locations; Standard practices; Web searches, Customer satisfaction; Information technology; Websites; World Wide Web, Applications
note: cited By 0; Conference of International Symposium on Information Technology 2008, ITSim ; Conference Date: 26 August 2008 Through 29 August 2008; Conference Code:74115
abstract: In today's competitive environment, it is becoming a standard practice to analyze data to predict market trends and to improve enterprise performance. However, in order to be truly putting customers at the heart of everything, we present a framework which looks at predictive end-user application trigger. This paper discusses current issues of business intelligence systems and then outlines our vision of future predictive end-user application trigger. The research aims to formulate a generic (high-level) prediction model that is able to capture, analyze and model the heterogeneity of customer's profile in terms of Web searches, calling patterns, calendar entries, emailusage, connectivity, contexts and device preference in order to predict services that would be pertinent to a specific user at a specific location and time. This paper talks about a number of examples of applying these technologies to improve BT's systems and services. © 2008 IEEE.
date: 2008
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349091216&doi=10.1109%2fITSIM.2008.4631715&partnerID=40&md5=7d677ad96524bfa79320aaab1b23d303
id_number: 10.1109/ITSIM.2008.4631715
full_text_status: none
publication: Proceedings - International Symposium on Information Technology 2008, ITSim
volume: 2
place_of_pub: Kuala Lumpur
refereed: TRUE
isbn: 9781424423286
citation:   Shu, H.T. and Sheng, C.L. and Hoh, S. and Chin, C.W. and Han, L.T.  (2008) An initial framework for predictive end-user application trigger.  In: UNSPECIFIED.