Professor Zachary Pardos: Design and Testing of a Course Recommendation System

From Wee Meng CHIU on March 4th, 2020

views

Policy

Please see terms of use

Unique student and institutional requirements in higher education necessitate special consideration and modification to the common recommender systems approach. At Berkeley (askoski.berkeley.edu), neural networks are used to leverage millions of enrollment histories and course catalog descriptions to help students explore new and relevant courses, satisfy requirements, and achieve their goals.

Tags

Professor Zachary Pardos: Design and Testing of a Course Recommendation System

Policy

Please see terms of use

Related Media