Decoding a Neural Retriever's Latent Space for Query Suggestion.
Leonard AdolphsMichelle Chen HuebscherChristian BuckSertan GirginOlivier BachemMassimiliano CiaramitaThomas HofmannPublished in: CoRR (2022)
Keyphrases
- query suggestion
- latent space
- query logs
- latent variables
- web search engines
- low dimensional
- search engine
- dimensionality reduction
- web search
- manifold learning
- gaussian process
- parameter space
- log data
- lower dimensional
- information seeking
- feature space
- generative model
- matrix factorization
- probabilistic latent semantic analysis
- gaussian process latent variable models
- user queries
- transfer learning
- context aware
- high dimensional
- gaussian processes
- learning to rank
- search result
- distance metric
- gaussian mixture
- collaborative filtering
- data points
- high dimensional spaces
- vector space
- language model
- co occurrence
- query formulation
- prior knowledge
- feature vectors
- pairwise
- support vector
- feature extraction