A tag-based personalized item recommendation system using tensor modeling and topic model approaches.
Noor IfadaPublished in: SIGIR (2014)
Keyphrases
- topic models
- probabilistic topic models
- topic modeling
- latent dirichlet allocation
- personalized recommendation
- hierarchical bayesian model
- latent topics
- baseline models
- text mining
- co occurrence
- higher order
- generative model
- hidden markov models
- latent variables
- machine learning
- gibbs sampling
- text documents
- recommendation algorithms
- recommendation systems
- databases
- multi class
- probabilistic model
- artificial intelligence
- data mining