CS Other Presentations

Department of Computer Science - University of Cyprus

Besides Colloquiums, the Department of Computer Science at the University of Cyprus also holds Other Presentations (Research Seminars, PhD Defenses, Short Term Courses, Demonstrations, etc.). These presentations are given by scientists who aim to present preliminary results of their research work and/or other technical material. Other Presentations serve as a forum for educating Computer Science students and related announcements are disseminated to the Department of Computer Science (i.e., the csall list):
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Presentations Coordinator: Demetris Zeinalipour

PhD Defense: A Model-Driven Development Framework for Automated Design and Development of Ubiquitous Context-Aware Recommender Systems for Commerce, Mr. Christos Mettouris (University of Cyprus, Cyprus), Friday, December 14, 2018, 10:00-11:00 EET.


The Department of Computer Science at the University of Cyprus cordially invites you to the PhD Defense entitled:

A Model-Driven Development Framework for Automated Design and Development of Ubiquitous Context-Aware Recommender Systems for Commerce

Speaker: Mr. Christos Mettouris
Affiliation: University of Cyprus, Cyprus
Category: PhD Defense
Location: Room 147, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Friday, December 14, 2018
Time: 10:00-11:00 EET
Host: Dr. Georgia Kapitsaki (gkapi-AT-cs.ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/presentations.php#cs.ucy.pres.2018.mettouris

Abstract:
Recommender systems have been the answer to the information overload modern life consumers experience for more than two decades. Recommender systems are software tools able to discover the necessary knowledge about users in order to offer them personalized recommendations. Recommendations of products to customers have been proven to boost sales, increase customer satisfaction and improve user experience, making recommender systems an important tool for retail businesses. A key question is how can businesses deploy recommender systems on their on-line retail stores? Despite the success of recommender systems in industry, limited research has been conducted on the engineering aspects of such complex systems in terms of support during their development. The development of effective context-aware recommender systems by non-expert practitioners is not an easy task due to the complexity of building the necessary data models and selecting and configuring recommendation algorithms. The absence of works that use Model-Driven Development methods for the design, application and deployment of Ubiquitous Context-Aware Recommender Systems that specifically aim for technical abstraction, reduction of development complexity, and development expedition of the aforementioned systems has motivated the work to be presented. Moreover, this work addresses the lack of methodologies that combine explicit and implicit user feedback acquisition techniques from both the physical commerce scenario and the electronic commerce scenario, aiming to enhance recommendation accuracy and availability in these settings. In this presentation, the UbiCARS Model-Driven Development Framework which aims to address the abovementioned limitations will be presented.

Short Bio:
Christos Mettouris (www.cs.ucy.ac.cy/~mettour/) is pursuing a PhD degree at the University of Cyprus. His research interests include Recommender Systems, Ubiquitous Computing, Model-Driven Development and Context-Aware Computing. During his doctoral studies, he has received doctoral scholarships by the University of Cyprus and has also served as a reviewer of several papers for different conferences and journals in the area of Recommender Systems and Ubiquitous Computing. Christos is a graduate of the Computer Engineering & Informatics Department of the Polytechnic School of the University of Patras. He holds a Masters degree from the same department. He has been a member of the e-Learning sector of the Computer Technology Institute of Patras (CTI) for two years. He is a member of the Software Engineering and Internet Technologies (SEIT) Lab of the Computer Science Department at the University of Cyprus for the past 10 years. He has been involved in a number of EU funded projects.

Note:
Advisor: Prof. George Papadopoulos <george@cs.ucy.ac.cy>

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