Item-Based and User-Based Incremental Collaborative Filtering for Web Recommendations.
Catarina MirandaAlípio Mário JorgePublished in: EPIA (2009)
Keyphrases
- collaborative filtering
- recommender systems
- recommendation systems
- user preferences
- recommendation quality
- information overload
- user ratings
- user interests
- cold start problem
- cold start
- making recommendations
- user profiling
- user generated content
- matrix factorization
- collaborative filtering algorithms
- online dating
- item recommendation
- active user
- content based filtering
- recommendation algorithms
- personalized recommendation
- deal with information overload
- user behaviour
- user profiles
- user similarity
- website
- data sparsity
- item based collaborative filtering
- personalized news recommendation
- information filtering
- product recommendation
- web documents
- hybrid recommendation
- demographic information
- collaborative recommendation
- social tags
- usage data
- web applications
- user feedback
- collaborative filtering recommender systems
- web pages
- information sources
- end users
- web page recommendation
- semantic web
- collaborative filtering recommendation
- user experience
- user model
- web data
- implicit feedback