Supporting user preferences in search-based product line architecture design using Machine Learning.
Carlos Vinícius BindewaldWillian Marques FreireAline Maria Malachini Miotto AmaralThelma Elita ColanziPublished in: SBCARS (2020)
Keyphrases
- user preferences
- product line
- machine learning
- recommender systems
- user behavior
- collaborative filtering
- search behavior
- user profiles
- recommendation systems
- user specific
- search algorithm
- search strategy
- search space
- active learning
- user interests
- user behaviour
- preference model
- software product line
- user feedback
- information seeking
- multi agent
- search engine
- artificial intelligence
- search strategies
- software architecture
- open source
- software engineering