What is LSH?
Career: Lsh
Locality-Sensitive Hashing (LSH) is a technique used in computer science to efficiently find similar items in large datasets. LSH works by hashing input items so that similar items map to the same 'buckets' with high probability, making it especially useful for tasks like near-duplicate detection, clustering, and nearest neighbor search in high-dimensional spaces. It is widely used in applications such as image retrieval, recommendation systems, and data deduplication. LSH helps reduce the computational complexity of searching for similar items compared to brute-force methods.