A Recommender System Based on Content Clustering Used to Propose Forum Articles.
Urszula KuzelewskaEwa GuziejkoPublished in: DepCoS-RELCOMEX (2014)
Keyphrases
- recommender systems
- clustering algorithm
- clustering method
- online forums
- financial news
- k means
- collaborative filtering
- digital libraries
- unsupervised learning
- web content
- user generated content
- hierarchical clustering
- user experience
- cluster analysis
- metadata
- multimedia
- wikipedia articles
- data points
- user preferences
- data clustering
- multimedia content
- matrix factorization
- user interests
- information filtering
- digital content
- information overload
- social media
- user generated
- social networks
- web forums
- news items
- multimedia data