Intelligent Business Prediction in Context-awareness Services Based on Hidden Markov Model (HMM)

Author

Xia, Chen ; Tingjie, Lu

Author_Institution

Sch. of Econ. & Manage., Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2009

fDate

6-7 June 2009

Firstpage

116

Lastpage

119

Abstract

Context-awareness services are important applications of mobile commerce, and how to predict demands of mobile customers so as to provide business information they need is a key point. This paper proposed a predicting model based on the hidden Markov model (HMM), which mines the latent information requirement concepts that the customer visiting path contains and to make business information predicting decisions. Simulation experimental results show that the scheme is effective.

Keywords

customer services; electronic commerce; hidden Markov models; mobile computing; business information; context-awareness services; hidden Markov model; intelligent business prediction; mobile commerce; mobile customers; Business; Context modeling; Context-aware services; Data mining; Economic forecasting; Hidden Markov models; Prediction algorithms; Predictive models; Probability; Statistical analysis; Context-awareness Services; business prediction; data-mining; hidden Markov model (HMM); information requirement concept;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Mining and Web-based Application, 2009. WMWA '09. Second Pacific-Asia Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3646-0

Type

conf

DOI

10.1109/WMWA.2009.50

Filename

5232481