Home // CENTRIC 2012, The Fifth International Conference on Advances in Human-oriented and Personalized Mechanisms, Technologies, and Services // View article

Personalized Mobile Services Using Weighted Instance Based Learner for User Profiling

Authors:
Ayse Cufoglu
Mahi Lohi
Colin Everiss

Keywords: User Profiling; Personalization; Machine Learning.

Abstract:
Today, mobile device users receive a variety of services and information delivered to their mobile devices. Many of these are irrelevant, far from the user’s satisfaction level and may likely be regarded as spam messages by the user. This results in the users to look for the relevant services by themselves, which would be time consuming and may cause inconvenience. User profiling has created opportunities for mobile service providers to provide a channel for user awareness as well as to achieve high user satisfaction. Apart from traditional collaborative and content-based methods, a number of classification and clustering algorithms have been used for user profiling. Instance Based Learner is a comprehensive form of the Nearest Neighbour algorithm and it is suitable for user profiling as users with similar profiles are likely to share similar personal interests and preferences. In our previous work we proposed a weighted classification method, namely Weighted Instance Based Learner, and evaluate its performance on user profiling. According to the simulation resultsWeighted Instance Based Learner, performs better than Instance Based Learner, on user profiling by reducing the error up to 28% on the selected dataset. In this paper, we aim to demonstrate how Weighted Instance Based Learner algorithm can be used for the user profiling for the provisioning of personalized mobile services. For this purpose a scenario has been proposed and implemented as a Java Mobile Application on NetBeans IDE 7.1.

Pages: 128 to 132

Copyright: Copyright (c) IARIA, 2012

Publication date: November 18, 2012

Published in: conference

ISSN: 2308-3492

ISBN: 978-1-61208-232-5

Location: Lisbon, Portugal

Dates: from November 18, 2012 to November 23, 2012