Recommendations on English AI Terms Dictionary

Reranking

Sat, 18 Jul 2026 10:14:07 +0000

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.

Maximum inner-product search

Sat, 18 Jul 2026 10:06:58 +0000

Definition

Maximum Inner-Product Search (MIPS) is a fundamental problem in information retrieval and machine learning, particularly in recommendation systems. Unlike standard cosine similarity searches which measure angular distance, MIPS optimizes for the raw dot product, effectively incorporating vector magnitude into the similarity metric. This approach is crucial when item popularity or bias needs to be accounted for in rankings. Efficient algorithms and approximate nearest neighbor libraries are often employed to handle the computational complexity of finding the maximum inner product across large-scale datasets in real-time.