trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes.
Kaushal Kumar MauryaMaunendra Sankar DesarkarManish GuptaPuneet AgrawalPublished in: Data Min. Knowl. Discov. (2023)
Keyphrases
- data structure
- context aware
- query evaluation
- user context
- context sensitive
- dynamic programming
- contextual information
- main memory
- user interaction
- response time
- relevance feedback
- e learning
- data sources
- natural language generation
- keywords
- user model
- search engine
- candidate generation
- personalized search
- complex queries
- context dependent
- search queries
- keyword search
- query processing
- retrieval systems
- database
- query expansion