Similarity Search, Part 5: Locality Sensitive Hashing (LSH)

Explore how similarity information can be incorporated into hash function

Similarity search is a problem where given a query the goal is to find the most similar documents to it among all the database documents.

Introduction

In data science, similarity search often appears in the NLP domain, search engines or recommender systems where the most relevant documents or items need to be retrieved for a query. There exists a large variety of different ways to improve search performance in massive …

data database data science documents hands-on-tutorials hash hashing information machine learning nlp part query recommender systems science search similarity-search systems