18th International Conference on
Similarity Search and Applications, SISAP 2025

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 retrieval, computer vision, pattern recognition, computational biology, geography, biometrics, machine learning, and many others that need similarity searching as a necessary supporting service. Please see the call for papers for more details.

SISAP 2025 also features a doctoral symposium. If you are a PhD student, please consider submitting a paper about your project.

The SISAP initiative (www.sisap.org) is a forum to exchange real-world, challenging and innovative examples of applications, new indexing techniques, common test-beds and benchmarks, source code and up-to-date literature through its web page, serving the similarity search community. Traditionally, SISAP puts emphasis on the distance-based searching, but in general the conference concerns both the effectiveness and efficiency aspects of any similarity search problem.

SISAP is recognized as a CORE B conference. The series started in 2008 as a workshop and has developed over the years into an international conference with Springer Lecture Notes in Computer Science (LNCS) proceedings. You can find links to past SISAP proceedings on SpringerLink.

There will be a Best Paper Award. The best papers will be recognized with a certificate and a monetary prize, thanks to Springer's sponsorship.

SISAP 2025 will take place at Reykjavik University (RU) Reykjavik, Iceland.

More details will be published soon on this webpage.