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Displaying 1-11 out of 11 total
inShopnito: An Advanced yet Privacy-Friendly Mobile Shopping Application
2014 IEEE World Congress on Services (SERVICES)
By Andreas Put,Italo Dacosta,Milica Milutinovic,Bart De Decker,Stefaan Seys,Faysal Boukayoua,Vincent Naessens,Kris Vanhecke,Toon De Pessemier,Luc Martens
Issue Date:June 2014
Mobile Shopping Applications (MSAs) are rapidly gaining popularity. They enhance the shopping experience, by offering customized recommendations or incorporating customer loyalty programs. Although MSAs are quite effective at attracting new customers and b...
Designing Energy-Efficient Wireless Access Networks: LTE and LTE-Advanced
IEEE Internet Computing
By Margot Deruyck,Wout Joseph,Bart Lannoo,Didier Colle,Luc Martens
Issue Date:September 2013
As large energy consumers, base stations need energy-efficient wireless access networks. This article compares the design of Long-Term Evolution (LTE) networks to energy-efficient LTE-Advanced networks. LTE-Advanced introduces three new functionalities--ca...
A File-Based Approach for Recommender Systems in High-Performance Computing Environments
Database and Expert Systems Applications, International Workshop on
By Simon Dooms,Toon de Pessemier,Luc Martens
Issue Date:September 2011
Since recommendation systems tackle the problem of information overload, the processing of huge datasets can not be avoided. When these datasets no longer fit into the RAM memory of a computing node, a scalable data storage approach is required. While data...
Extending the Bayesian Classifier to a Context-Aware Recommender System for Mobile Devices
Internet and Web Applications and Services, International Conference on
By Toon De Pessemier, Tom Deryckere, Luc Martens
Issue Date:May 2010
Mobile devices that are capable of playing Internet videos have become wide-spread in recent years. Because of the enormous offer of video content, the lack of sufficient presentation space on the screen, and the laborious navigation on mobile devices, the...
A software tool to relate technical performance to user experience in a mobile context
A World of Wireless, Mobile and Multimedia Networks, International Symposium on
By Tom Deryckere, Wout Joseph, Luc Martens, Lieven De Marez, Katrien De Moor, Katrien Berte
Issue Date:June 2008
Users in today’s mobile ICT environment are confronted with more and more innovations and an ever increasing technical quality, which makes them more demanding and harder to please. It is often hard to measure and to predict the user experience during serv...
The Need for Cooperation and Relaying in Short-Range High Path Loss Sensor Networks
Sensor Technologies and Applications, International Conference on
By Bart Braem, Benoît Latré, Ingrid Moerman, Chris Blondia, Elisabeth Reusens, Wout Joseph, Luc Martens, Piet Demeester
Issue Date:October 2007
communication in small-scale sensor networks experiencing high path loss. In particular, a sensor network on the human body or BASN is considered. The energy consumption or network lifetime of a single-hop network and a multi-hop network are compared. We d...
Characterization of the Path Loss near Flat and Layered Biological Tissue for Narrowband Wireless Body Area Networks
Wearable and Implantable Body Sensor Networks, International Workshop on
By Laurens Roelens, Wout Joseph, Luc Martens
Issue Date:April 2006
This paper discusses the path loss between two halfwavelength dipoles near flat, biological tissue at 2.4 GHz. Both homogeneous and layered media are investigated. The influence of the antenna height and the thickness of the layers are characterized and id...
A food recommender for patients in a care facility
Found in: Proceedings of the 7th ACM conference on Recommender systems (RecSys '13)
By Luc Martens, Simon Dooms, Toon De Pessemier
Issue Date:October 2013
In this research, a food recommendation strategy for patients in a care facility is proposed. Since many of these patients cannot express their personal preferences, a recommender system can assist the caregivers in the selection of the menu items that mat...
Design and evaluation of a group recommender system
Found in: Proceedings of the sixth ACM conference on Recommender systems (RecSys '12)
By Luc Martens, Simon Dooms, Toon De Pessemier
Issue Date:September 2012
Though most recommender systems make suggestions for individual users, in many circumstances the selected items (e.g., movies) are not for personal usage but rather for consumption in group. In this paper, we present a recommender system for audio-visual c...
Users' (Dis)satisfaction with the personalTV application: Combining objective and subjective data
Found in: Computers in Entertainment (CIE)
By Adrian J. L. De Marez, Cedric Courtois, Katrien De Moor, Luc Martens, Peter Mechant, Toon De Pessemier
Issue Date:November 2011
The overabundance of content on online video platforms has made intelligent recommender systems that assist users in finding content matching their personal preferences indispensable. This article reports on a study in which “PersonalTV,” an on...
Time dependency of data quality for collaborative filtering algorithms
Found in: Proceedings of the fourth ACM conference on Recommender systems (RecSys '10)
By Luc Martens, Simon Dooms, Tom Deryckere, Toon De Pessemier
Issue Date:September 2010
The efficiency of personal suggestions generated by collaborative filtering techniques is highly dependent on the quality and quantity of the available consumption data. Extending data sets with additional consumption data (from the past) might enrich the ...
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