Monday, December 19, 2022 - 15:00 to 16:30
SCHOOL OF COMPUTER SCIENCE
The School of Computer Science would like to present…
Ph.D Comprehensive Exam by: Bahareh Rahmatikargar
Date: Monday, December 19, 2022
Time: 3:00 pm-4:30 pm
Location: Essex Hall, Room 122
Abstract:
The idea of recommendation systems emerged mainly as a novel solution to the information overload problem. Up to now, numerous recommendation system methodologies have been put forth, and a variety of recommendation system software has been created for a wide range of applications. Nowadays, managers and researchers recognize that recommendation systems present significant opportunities and challenges for the business, government, educational, and other domains. Moreover, the need for the successful development of recommendation systems for real-world applications is also becoming apparent. Therefore, it is essential to conduct a high-quality review of current trends, and challenges. Lack of explainability is one of the challenges such systems face. To solve the issue explainable recommendation systems are created. These systems give users or system designers explanations along with the recommendation results. In this way, they contribute to increasing the recommendation systems’ transparency, persuasiveness, effectiveness, trustworthiness, and user satisfaction. Additionally, they make it easier for system designers to diagnose, debug, and refine the recommendation algorithm.
In this talk, I will first present a high-level overview of the recommendation system and its applications. Then I discuss different types of recommendation systems (for example graph-based, session-based, etc.) and their challenges. Finally, explainable recommendation systems will be discussed. Moreover, some of the most famous datasets in the field and evaluation metrics will be reviewed.
Keywords:
Recommendation systems, applications, challenges, explainable recommendation systems
PhD Doctoral Committee:
External Reader: Dr. Mitra Mirhassani
Internal Reader: Dr. Dan Wu
Internal Reader: Dr. Saeed Samet
Advisor(s): Dr. Pooya Moradian Zadeh, Dr. Ziad Kobti
PhD COMPREHENSIVE EXAMINATION ANNOUNCEMENT
5113 Lambton Tower 401 Sunset Ave. Windsor ON, N9B 3P4 (519) 253-3000 Ext. 3716 csgradinfo@uwindsor.ca