Similarity Search

Similarity search

Similarity search is a mechanism for searching large spaces of objects where the only available comparator is the similarity between any pair of objects. It is becoming increasingly important in an age of large information repositories, and research in this field is dominated by the inherent problems of searching over complex objects. The most general approach relies upon the mathematical notion of metric space to achieve scalability in the search domain, and the SISAP foundation was formed in 2008 to focus on the general issues applicable across the many diverse domains of its use.

1 courses cover this concept

CS 168: The Modern Algorithmic Toolbox

Stanford University

Spring 2022

CS 168 provides a comprehensive introduction to modern algorithm concepts, covering hashing, dimension reduction, programming, gradient descent, and regression. It emphasizes both theoretical understanding and practical application, with each topic complemented by a mini-project. It's suitable for those who have taken CS107 and CS161.

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