NDLI: Bayesian Network Based Behavior Prediction Model for Intelligent Location Based Services

Content Provider	IEEE Xplore Digital Library
Author	Lu Huijuan Chen Kejie Liu Bai
Copyright Year	2007
Description	Author affiliation: China Jiliang Univ., Hangzhou (Lu Huijuan; Chen Kejie)
Abstract	The rapid development in wireless communication and mobile computing brings the booming of intelligent location-based services (LBS), which can actively push location-dependent information to mobile users according to their predefined interests. The successful development and deployment of push-based LBS applications rely heavily on the existence of a spatial publish/subscribe middleware that handles spatial relationship. However, in a traditional publish/subscribe middleware; the current location of a mobile user is the unique criteria to determine whether to notify them. Statistics shows that the accuracy of notification is not satisfied. This paper presents a novel user behavior prediction model (UBPM) for the publish/subscribe system. UBPM is complementary components of existing publish/subscribe system which is utilized to predict the behavior of a mobile user. This model takes some foregone and real-time user information into consideration that is a prerequisite to predict the future behavior of mobile users. Six important user context-aware information entries which have crucial effects on prediction result are discussed in detail. Furthermore, Bayesian network (BN) and inference in the field of artificial intelligence is introduced to make the prediction more accurate.
Starting Page	703
Ending Page	708
File Size	377021
Page Count	6
File Format	PDF
ISBN	9781424407361
DOI	10.1109/ICIEA.2007.4318497
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Predictive models Intelligent networks Industrial electronics
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Bayesian Network Based Behavior Prediction Model for Intelligent Location Based Services

TSBM: The Temporal-Spatial Bayesian Model for Location Prediction in Social Networks

Proactive Cellular Network Faults Prediction Through Mobile Intelligent Agent Technology

Why Checkins: Exploring User Motivation on Location Based Social Networks

Link prediction in social networks using Bayesian networks

Combination of intelligent prediction model based on BP neural network and its application

Location Prediction Model Based on Bayesian Network Theory

Bayesian network model of HCV therapy response prediction in FBiH

A Modeling Method Based on Bayesian Networks in Intelligent Tutoring System

Bayesian Network Based Behavior Prediction Model for Intelligent Location Based Services

Similar Documents

Bayesian Network Based Behavior Prediction Model for Intelligent Location Based Services

TSBM: The Temporal-Spatial Bayesian Model for Location Prediction in Social Networks

Proactive Cellular Network Faults Prediction Through Mobile Intelligent Agent Technology

Why Checkins: Exploring User Motivation on Location Based Social Networks

Link prediction in social networks using Bayesian networks

Combination of intelligent prediction model based on BP neural network and its application

Location Prediction Model Based on Bayesian Network Theory

Bayesian network model of HCV therapy response prediction in FBiH

A Modeling Method Based on Bayesian Networks in Intelligent Tutoring System

Bayesian Network Based Behavior Prediction Model for Intelligent Location Based Services