Reranking
term_id: reranking
Category: application_paradigms
Definition
Reranking is a strategy used in information retrieval and recommendation systems to enhance accuracy. First, a fast but less accurate model retrieves a large candidate set. Then, a slower, more sophisticated model (often using cross-attention or deep interaction) scores these candidates precisely. This balances efficiency and performance, ensuring high-quality results are presented to users without excessive computational cost during the initial search phase.
Summary
A two-stage retrieval process where an initial coarse ranking is refined by a more computationally expensive model to improve result relevance.
Key Concepts
- Two-Tier Retrieval
- Candidate Generation
- Cross-Attention
- Precision Optimization
Use Cases
- Search Engines
- Recommendation Systems
- Retrieval-Augmented Generation (RAG)