Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes.
Kaushal Kumar MauryaMaunendra Sankar DesarkarManish GuptaPuneet AgrawalPublished in: CoRR (2023)
Keyphrases
- data structure
- context aware
- context sensitive
- user model
- contextual information
- database
- response time
- query evaluation
- e learning
- context dependent
- user centric
- natural language generation
- retrieval systems
- vector space
- range queries
- user queries
- collaborative filtering
- relevance feedback
- search queries
- retrieval method
- individual user
- candidate generation
- user context
- personal preferences