ClusterExplorer: Enable User Control over Related Recommendations via Collaborative Filtering and Clustering.
Denis KotkovQian ZhaoKati LaunisMats NeoviusPublished in: RecSys (2020)
Keyphrases
- collaborative filtering
- recommender systems
- user preferences
- recommendation quality
- recommendation systems
- content based filtering
- making recommendations
- user ratings
- recommendation algorithms
- cold start problem
- online dating
- cold start
- active user
- item recommendation
- personalized recommendation
- collaborative filtering algorithms
- user profiles
- product recommendation
- clustering method
- user feedback
- user similarity
- matrix factorization
- collaborative filtering recommendation
- information overload
- web page recommendation
- clustering algorithm
- control system
- user interests
- k means
- data sparsity
- collaborative recommendation
- collaborative filtering recommender systems
- user interface
- demographic information
- unsupervised learning
- document clustering
- user specific
- implicit feedback
- hierarchical clustering
- user model
- cluster analysis
- user interaction
- fuzzy clustering
- end users
- social networks
- information filtering
- data clustering
- self organizing maps
- user satisfaction
- filtering algorithm