A Recommendation Agent System Using HMM-Based Collaborative Filtering in Smart Home Environment

Author

Kim, Jong-Hun ; Chung, Kyung-Yong ; Ryu, Joong-Kyung ; Rim, Kee-Wook ; Lee, Jung-Hyun

Author_Institution

Dept. of Comput. Sci. Eng., Inha Univ., Incheon

Volume

2

fYear

2008

fDate

11-13 Nov. 2008

Firstpage

214

Lastpage

217

Abstract

An item recommendation service provides an item list by considering the circumstance and desire of users without any limitations in time and location. However, the recommendation systems used in the past are unable to satisfy user desires because these systems only reply to the results of consider static information. This paper attempts to design a recommendation agent system (RAS) that is suited to a user´s context using HMM-based collaborative filtering (HCF). The recommendation system used in this study uses an open service gateway initiative (OSGi) framework to recognize context information and connect device in smart home.

Keywords

groupware; hidden Markov models; home computing; information filtering; collaborative filtering; hidden Markov model; item recommendation service; open service gateway initiative framework; recommendation agent system; smart home environment; Collaboration; Computer science; Context modeling; Hidden Markov models; Home computing; Information filtering; Information filters; Probability distribution; Smart homes; Temperature sensors; Collaborative Filtering; Recommendation Agent System; Smart Home;

fLanguage

English

Publisher

ieee

Conference_Titel

Convergence and Hybrid Information Technology, 2008. ICCIT '08. Third International Conference on

Conference_Location

Busan

Print_ISBN

978-0-7695-3407-7

Type

conf

DOI

10.1109/ICCIT.2008.344

Filename

4682242