Item-network-based collaborative filtering: A personalized recommendation method based on a user's item network.
Taehyun HaSangwon LeePublished in: Inf. Process. Manag. (2017)
Keyphrases
- collaborative filtering
- user preferences
- personalized recommendation
- item recommendation
- user ratings
- recommender systems
- user profiles
- cold start problem
- collaborative filtering recommendation algorithm
- active user
- matrix factorization
- user specific
- user similarity
- making recommendations
- user interests
- cold start
- recommendation algorithms
- individual user
- latent factor models
- hybrid recommendation
- recommendation systems
- collaborative recommendation
- user feedback
- pearson correlation coefficient
- user modeling
- prediction accuracy
- content based filtering
- item based collaborative filtering
- web page recommendation
- user model
- personal preferences
- rating prediction
- user item rating
- information overload
- information filtering
- data sparsity
- peer to peer
- user behavior
- implicit feedback
- product recommendation
- user interface
- wireless sensor networks
- collaborative filtering algorithms
- computer networks
- network structure
- network traffic
- search engine
- e learning
- web search
- network administrators
- transfer learning
- opinion mining
- user centric
- tag recommendation
- user profiling