Learning non-linear ranking functions for web search using probabilistic model building GP.
Hiroyuki SatoDanushka BollegalaYoshihiko HasegawaHitoshi IbaPublished in: IEEE Congress on Evolutionary Computation (2013)
Keyphrases
- web search
- ranking functions
- learning algorithm
- preference learning
- supervised learning
- genetic programming
- web search engines
- learning to rank
- learning problems
- active learning
- bayesian networks
- reinforcement learning
- generative model
- gaussian process latent variable models
- data sets
- search queries
- search engine
- ranking algorithm
- information retrieval systems
- face recognition
- learning process
- image retrieval
- natural language