Topic-Based User Segmentation for Online Advertising with Latent Dirichlet Allocation.
Songgao TuChaojun LuPublished in: ADMA (2) (2010)
Keyphrases
- latent dirichlet allocation
- online advertising
- topic models
- topic modeling
- topic discovery
- display advertising
- user behavior
- generative model
- user experience
- latent topics
- text mining
- gibbs sampling
- lda model
- user interaction
- topic extraction
- probabilistic model
- behavioral targeting
- probabilistic latent semantic analysis
- image segmentation
- level set
- latent topic models
- variational bayesian inference
- pattern recognition
- latent variables
- collaborative filtering
- probabilistic topic models
- data mining
- end users
- dimensionality reduction
- recommender systems
- implicit feedback
- user interface
- expert systems
- internet advertising
- advertising campaigns
- information retrieval systems
- latent topic model
- search engine
- user preferences