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Recommender Systems and Techniques Research Faculty | GradNova

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Recommender Systems and Techniques

Recommender Systems and Techniques

29 faculty research Recommender Systems and Techniques on GradNova.

G

Professor

Computer Science

Georgetown University

Deep Reinforcement Learning

Information Retrieval

Machine Learning

Natural Language Processing

+7

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

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