Conceptual Analysis for Timely Social Media-Informed Personalized Recommendations

Fong, A.C.M. (2015) Conceptual Analysis for Timely Social Media-Informed Personalized Recommendations. In: 2015 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, USA, 09-12 Jan 2015, pp. 150-151. ISBN 9781479975426 (doi: 10.1109/ICCE.2015.7066358)

Abstract

Integrating sensor networks and human social networks can provide rich data for many consumer applications. Conceptual analysis offers a way to reason about real-world concepts, which can assist in discovering hidden knowledge from the fused data. Knowledge discovered from such data can be used to provide mobile users with location-based, personalized and timely recommendations. Taking a multi-tier approach that separates concerns of data gathering, representation, aggregation and analysis, this paper presents a conceptual analysis framework that takes unified aggregated data as an input and generates semantically meaningful knowledge as an output. Preliminary experiments suggest that a fusion of sensor network and social media data improves the overall results compared to using either source of data alone.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Fong, Dr Alvis Cheuk Min
• Authors: Fong, A.C.M.
• College/School: College of Science and Engineering > School of Computing Science
• ISBN: 9781479975426
• Copyright Holders: Copyright © 2015 IEEE
• First Published: First published in 2015 IEEE International Conference on Consumer Electronics (ICCE) Proceedings: 150-151
• Publisher Policy: Reproduced in accordance with the publisher copyright policy