By Topic

Personalized recommender system for resource sharing based on context-aware in ubiquitous environments

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Jong-Hyun Park ; Dept. of Computer Science & Engineering, Chungnam National University, Gung-Dong, Yuseong-Gu, Daejeon, 305-764, South Korea ; Won-Ik Park ; Young-Kuk Kim ; Ji-Hoon Kang

In ubiquitous environments, user wants to get a variety of services using only his individual device. For this requirement, resource sharing and its efficient processing is one of the new research topics. However, the situations of each user are different and user preferences also are various even if user environments are the same. Therefore, although users want to get the same service in the same space, the most suitable resources for the service are different for all users. In this paper, we propose the personalized resource recommender system which recommends resources inferred by applying user preference and situation. The recommender system uses ontology-based reasoning and rule-based reasoning for being aware of situation and for recommending personalized resources respectively.

Published in:

2008 International Symposium on Information Technology  (Volume:4 )

Date of Conference:

26-28 Aug. 2008