Content-boosted matrix factorization for recommender systems: experiments with recipe recommendation.
Peter ForbesMu ZhuPublished in: RecSys (2011)
Keyphrases
- recommender systems
- matrix factorization
- collaborative filtering
- user generated content
- user interests
- data sparsity
- low rank
- cold start problem
- user preferences
- item recommendation
- cold start
- recommendation systems
- information overload
- implicit feedback
- negative matrix factorization
- personalized recommendation
- stochastic gradient descent
- variational bayesian
- latent factor models
- factor analysis
- trust aware
- recommendation algorithms
- nonnegative matrix factorization
- recommendation quality
- probabilistic matrix factorization
- factorization methods
- product recommendation
- user profiles
- tensor factorization
- user feedback
- web content
- compound critiques
- latent factors
- social networks
- user experience
- prediction accuracy
- text mining