International Conference on Similarity Search and Applications (SISAP)

The International Conference on Similarity Search and Applications (SISAP) is an annual forum for researchers and application developers in the area of similarity data management. It aims at the technological problems shared by numerous application domains, such as data mining, information retrieval, multimedia, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that make use of similarity search as a necessary supporting service. From its roots as a regional workshop in metric indexing, SISAP has expanded to become the only international conference entirely devoted to the issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search.

The SISAP initiative has also created a repository serving the similarity search community. Source code for similarity indexes, as well as experimental test beds and benchmark data sets, are made available to all researchers wishing to evaluate and compare new applications, databases, indexes and algorithms for similarity search.