Description
Abstract
Matrix Factorization techniques have been proven to be more effective in recommender systems than standard user based or item based methods. Using this knowledge, Funk SVD and SVD++ are compared by the accuracy of their predictions of Twitch streamer data.
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Contributors
- Aitken, Connor Dalton (Author)
- Liu, Huan (Thesis director)
- Jones, Isaac (Committee member)
- Computer Science and Engineering Program (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2019-05
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