Areas of Expertise:
- Personalization and Recommender Systems; Business Intelligence; Knowledge Discovery and Data Mining; Human-Computer Interaction.
My research focuses on utilizing algorithmic techniques from computer science and theories from social sciences to understand and address emerging issues in recommender systems. I am interested in both the computational and behavior aspects of recommender systems. My current research has covered a number of issues including stability of recommendation algorithms, anchoring effects in recommender systems, impact of data characteristics on recommendation accuracy, and longitudinal dynamics of recommender systems performance
My research involves the integration of design science approach (i.e., creating artifacts for addressing technical issues) with behavioral science approach (i.e., understanding behavioral implications of intelligent systems). I use a combination of methods such as data mining techniques, econometric analyses, computer simulations, and behavioral experiments. My past and ongoing research can be broadly categorized into two streams:
- Computational aspects of intelligent systems: This stream focuses on developing computational approaches that facilitate the advancement of personalization technologies
- Behavioral aspects of intelligent systems: This stream focuses on understanding the behavioral and economic implications of intelligent systems.
Research:
- Design Aspects of Intelligent Systems
- Behavioral Aspects of Intelligent Systems
- Healthcare Information Technologies.
