Clustering Users by exploiting Activity Tracks in Recommender Systems for SME.
Luigi PortinaleSamuele BrondolinPublished in: ICTAI (2021)
Keyphrases
- recommender systems
- collaborative filtering
- user profiles
- clustering algorithm
- recommendation quality
- cold start problem
- user modeling
- recommendation systems
- information overload
- trust aware
- product recommendation
- data sparsity
- matrix factorization
- user interests
- content based filtering
- user model
- user interface
- self organizing maps
- user preferences
- hierarchical clustering
- cluster analysis
- tag information
- active user
- user profiling
- implicit feedback
- data clustering
- end users
- user activity
- unsupervised learning
- clustering method
- information filtering
- user feedback
- user ratings
- user interaction
- log data
- data points
- social media
- social networks
- k means
- online dating
- document clustering
- item based collaborative filtering
- injection attacks
- collaborative filtering recommender systems