Gradual adaption model for estimation of user information access behavior

Jian Chen*, Roman Y. Shtykh, Qun Jin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this study, we propose a gradual adaption model for estimation of user information access behavior. A variety of users' information access data are collected by unit of a day for each user, and analyzed in terms of short, medium, long periods, and by remarkable and exceptional categories. The proposed model is then established by analyzing the pre-processed data based on Full Bayesian Estimation. We further present experimental simulation results, and show the operability and effectiveness of our proposed model.

Original languageEnglish
Title of host publicationProc. - The 3rd Int. Conf. Systems and Networks Communications, ICSNC 2008 - Includes I-CENTRIC 2008
Subtitle of host publicationInt. Conf. Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services
Pages378-383
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event3rd International Conference on Systems and Networks Communications, ICSNC 2008 - Includes I-CENTRIC 2008: International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services - Sliema, Malta
Duration: 2008 Oct 262008 Oct 31

Publication series

NameProc. - The 3rd Int. Conf. Systems and Networks Communications, ICSNC 2008 - Includes I-CENTRIC 2008: Int. Conf. Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services

Conference

Conference3rd International Conference on Systems and Networks Communications, ICSNC 2008 - Includes I-CENTRIC 2008: International Conference on Advances in Human-Oriented and Personalized Mechanisms, Technologies, and Services
Country/TerritoryMalta
CitySliema
Period08/10/2608/10/31

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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