Temporal people-to-people recommendation on social networks with sentiment-based matrix factorization.
Davide Feltoni GuriniFabio GasparettiAlessandro MicarelliGiuseppe SansonettiPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- matrix factorization
- collaborative filtering
- recommender systems
- social networks
- item recommendation
- data sparsity
- cold start problem
- latent factor models
- link prediction
- influence propagation
- low rank
- factorization methods
- nonnegative matrix factorization
- rating prediction
- implicit feedback
- recommendation systems
- cold start
- negative matrix factorization
- social network analysis
- sentiment analysis
- opinion mining
- user preferences
- social networking
- sentiment classification
- social media
- variational bayesian
- tensor factorization
- information overload
- missing data
- online social networks
- personalized recommendation
- recommendation algorithms
- social influence
- user interests
- personalized ranking
- probabilistic matrix factorization
- stochastic gradient descent
- factor analysis
- user profiles