Improving Code Recommendations by Combining Neural and Classical Machine Learning Approaches.
Max Eric Henry SchumacherKim Tuyen LeArtur AndrzejakPublished in: ICSE (Workshops) (2020)
Keyphrases
- machine learning approaches
- machine learning methods
- machine learning
- machine learning algorithms
- machine learning models
- neural network
- source code
- network architecture
- recommender systems
- data mining methods
- question classification
- user preferences
- bio inspired
- associative memory
- decision trees
- databases
- recommendation systems
- preprocessing
- data mining
- real world
- making recommendations