P2PCF: A collaborative filtering based recommender system for peer to peer social networks.
Lyes BadisMourad AmadDjamil AïssaniSofiane AbbarPublished in: J. High Speed Networks (2021)
Keyphrases
- collaborative filtering
- recommender systems
- peer to peer
- social networks
- online dating
- link prediction
- content sharing
- matrix factorization
- information filtering
- user preferences
- social network analysis
- file sharing
- recommendation quality
- online social networks
- data sparsity
- peer to peer networks
- cold start
- social media
- user similarity
- product recommendation
- movie recommendation
- peer to peer systems
- cold start problem
- digital libraries
- distributed computing
- recommendation systems
- information overload
- community detection
- content based filtering
- user item rating
- deal with information overload
- probabilistic matrix factorization
- pearson correlation coefficient
- implicit feedback
- resource discovery
- user profiles
- video streaming
- social networking
- classification method
- network structure
- query processing
- social interaction
- hybrid recommendation
- netflix prize
- making recommendations
- transfer learning
- user model
- latent factor models
- online communities
- collaborative filtering algorithms
- user interests
- overlay network
- information diffusion