Evaluating classifiers to determine user-preferred stops in a personalized recommender system.
Aleksandr A. BorodinovVladislav V. MyasnikovPublished in: ICMV (2019)
Keyphrases
- recommender systems
- user profiles
- user model
- user modeling
- collaborative filtering
- user preferences
- information filtering
- product recommendation
- personalized services
- personalized recommendation
- user oriented
- user modelling
- user interests
- personalized information
- information overload
- decision trees
- recommendation quality
- personalized search
- training data
- user interaction
- user feedback
- individual user
- user profiling
- machine learning
- user context
- e learning
- training set
- recommendation systems
- test set
- support vector
- implicit feedback
- user requirements
- active learning
- user specific
- end users
- cold start problem
- multi class
- relevance feedback
- feature selection
- personal preferences
- class labels
- online dating