A Hybrid Course Recommendation System by Integrating Collaborative Filtering and Artificial Immune Systems

A Hybrid Course Recommendation System by Integrating Collaborative Filtering and Artificial Immune Systems

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This research proposes a two-stage user-based collaborative filtering process using an artificial immune system for the prediction of student grades, along with a filter for professor ratings in the course recommendation for college students. We test for cosine similarity and Karl Pearson (KP) corre...

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Bibliographic Details
Main Authors: Pei-Chann Chang, Cheng-Hui Lin, Meng-Hui Chen
Format: Article
Language:English
Published: MDPI AG 2016-07-01
Series:Algorithms
Subjects:
course recommendation system
collaborative filtering
artificial immune system
confusion matrix
cluster analysis
Online Access:http://www.mdpi.com/1999-4893/9/3/47

Internet

http://www.mdpi.com/1999-4893/9/3/47

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