Date of Award
2019
Publisher
North Dakota State University
Document Type
Thesis
Degree Awarded
Master of Science (MS)
Program
Computer Science
Department
Computer Science
College
Engineering
Faculty Advisor
Li, Juan
Description
Subjective expert projections have been traditionally used to predict points in fantasy football, while machine prediction applications are limited. Memory-based collaborative filtering has been widely used in recommender system domain to predict ratings and recommend items. In this study, user-based and item-based collaborative filtering were explored and implemented to predict the weekly statistics and fantasy points of NFL quarterbacks. The predictions from three seasons were compared against expert projections. On both weekly statistics and total fantasy points, the implementations could not make significantly better predictions than experts.However, the prediction from the implementation improved the accuracy of other regression models when used as additional feature.
Recommended Citation
Paramarta, Dienul Haq Ambeg, "Application of Memory-Based Collaborative Filtering to Predict Fantasy Points of NFL Quarterbacks" (2019). Computer Science. 327.
https://digitalcommons.ndsu.edu/computer-sci/327
Rights
NDSU policy 190.6.2
Rights Link
https://www.ndsu.edu/fileadmin/policy/190.pdf
Author ORCID Identifier
0000-0002-0164-9122
Handle Identifier
https://hdl.handle.net/10365/31686