Decoding a Neural Retriever's Latent Space for Query Suggestion.
Leonard AdolphsMichelle Chen HuebscherChristian BuckSertan GirginOlivier BachemMassimiliano CiaramitaThomas HofmannPublished in: EMNLP (2022)
Keyphrases
- latent space
- query suggestion
- query logs
- latent variables
- web search engines
- low dimensional
- gaussian process
- search engine
- log data
- web search
- lower dimensional
- generative model
- gaussian processes
- dimensionality reduction
- matrix factorization
- parameter space
- information seeking
- transfer learning
- feature space
- manifold learning
- high dimensional
- user queries
- probabilistic latent semantic analysis
- search queries
- context aware
- distance metric
- query formulation
- search result
- probabilistic model
- gaussian mixture
- gaussian process latent variable models
- learning to rank
- high dimensional spaces
- evaluation metrics
- user model
- bayesian framework
- topic models
- data mining techniques
- prior knowledge
- image retrieval
- pairwise
- web pages
- feature selection
- learning algorithm
- machine learning