GradNova

Recommender Systems and Techniques

30 faculty research Recommender Systems and Techniques on GradNova.

B

Bart Knijnenburg

Associate Professor

Computer Science

Clemson University

Artificial Intelligence in Healthcare and Education

Computational and Text Analysis Methods

Ethics and Social Impacts of AI

Privacy, Security, and Data Protection

+4

S

Sarah Y. Osailan

Adjunct Faculty

Computer Science

Claremont Graduate University

Consumer Market Behavior and Pricing

Digital Games and Media

Recommender Systems and Techniques

Geographic Information Systems Studies

+4

P

Peter L Brusilovsky

Adjunct Associate Professor

Computer Science

Carnegie Mellon University

AI in Service Interactions

Computational Physics and Python Applications

E-Learning and Knowledge Management

Intelligent Tutoring Systems and Adaptive Learning

+4

D

Associate Professor

Computer Science

Brigham Young University

Advanced Database Systems and Queries

Data Management and Algorithms

Recommender Systems and Techniques

+6

C

Assistant Professor of the Practice

Computer Science

Advanced Database Systems and Queries

Advanced Graph Neural Networks

Data Management and Algorithms

Graph Theory and Applications

+1

J

Jerry Alan Fails

Chair, Professor

Computer Science

Boise State University

Child Development and Digital Technology

ICT in Developing Communities

Innovative Human-Technology Interaction

Recommender Systems and Techniques

+1