Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning.
Rabaa AlabdulrahmanHerna L. ViktorPublished in: Expert Syst. Appl. (2021)
Keyphrases
- recommender systems
- machine learning
- information overload
- collaborative filtering
- user preferences
- content based filtering
- user ratings
- user profiles
- active user
- machine learning algorithms
- user model
- recommendation quality
- recommendation algorithms
- user modeling
- user feedback
- user interests
- user generated content
- user profiling
- data sparsity
- cold start problem
- trust aware
- information filtering
- recommendation systems
- matrix factorization
- learning algorithm
- long tail
- cold start
- user interface
- user requirements
- user experience
- implicit feedback
- feature selection
- information extraction
- end users
- collaborative recommender systems
- user similarity
- text mining
- text classification
- machine learning methods
- data mining