Important Dates


The 13th 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 retrieval, 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 in metric indexing, SISAP has expanded to become the only international conference entirely devoted to all issues surrounding the theory, design, analysis, practice, and application of content-based and feature-based similarity search.

Topics of Interest

The specific topics include, but are not limited to:

Special Sessions

SISAP 2020 will feature the following three special sessions:

Special session papers will supplement the regular research papers and be included in the proceedings of SISAP 2020, which will be published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series.

Please see the following website for more information about these special sessions.


For further information please check out the submission guidelines. The abstract is submitted by providing the metadata for your submission through EasyChair. Papers will be submitted in PDF format through EasyChair.