Optimize Ranking System With Machine Learning
This thesis investigates how recommendation systems has been used and can be used with the help of different machine learning algorithms. Algorithms used and presented are decision tree, random forest and singular-value decomposition(SVD). Together with Tingstad, we have tried to implement the SVD f...
Main Authors: | Mattsson, Fredrik, Gustafsson, Anton |
---|---|
Format: | Others |
Language: | English |
Published: |
Högskolan i Halmstad, Akademin för informationsteknologi
2018
|
Subjects: | |
Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37431 |
Similar Items
-
Identifying New Customers Using Machine Learning : A case study on B2B-sales in the Swedish IT-consulting sector
by: Norlin, Patrik, et al.
Published: (2017) -
Comparison of cumulative reward withone, two and three layered artificialneural network in a simple environmentwhen using ml-agents
by: Björkberg, David
Published: (2021) -
Interpretable serious event forecasting using machine learning and SHAP
by: Gustafsson, Sebastian
Published: (2021) -
Machine learning algorithms in a distributed context
by: Johansson, Samuel, et al.
Published: (2018) -
Bayesian optimization for selecting training and validation data for supervised machine learning : using Gaussian processes both to learn the relationship between sets of training data and model performance, and to estimate model performance over the entire problem domain
by: Bergström, David
Published: (2019)