Cart (Loading....) | Create Account
Close category search window
 

A fuzzy mobile recommender system: JQMobile vs FlashBuilder implementations

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
$31 $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

2 Author(s)
Costanzo, A. ; Dept. of Electr., Electron. & Comput. Eng., Univ. of Catania, Catania, Italy ; Faro, A.

Mobility and logistics activities could be supported effectively if the mobile users may know the best path to destination and the loading and unloading paths by means of navigators based on the current traffic and weather conditions. Also, personal data as well user preferences should be considered by the navigators to generate effective recommendations. However, not all the relevant data may be known in a precise way since they often derive from statistical information, as well as knowing all the real time information is not always feasible due to the high cost of the sensing systems. Moreover, we don't have simple mathematical models able to generate fast right recommendations, as required in the rapidly evolving scenarios featuring the activities of walking and driving people. For this reason, the paper aims at illustrating how fuzzy logic may be used for computing measurements and perceptions by qualitative rules and to generate timely recommendations helpful to mobile users. These recommendations will consider the environmental conditions in real time, the current personal constraints and the preferences expressed in the past by the users. The paper not only proposes the methodology, but also illustrates how a Ruby on Rails server provided with a proper JQMobile interface may offer such location intelligence services taking also advantage from the information coming from social networks. A Flash Builder version to save the RoR server time and to improve privacy is also illustrated.

Published in:

Software Engineering and Service Science (ICSESS), 2012 IEEE 3rd International Conference on

Date of Conference:

22-24 June 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.