SubSift, short for submission sifting, matches submitted conference or journal papers to potential peer reviewers based on similarity to published works. Conference organisers and journal editors can use the interactive SubSift demonstrations on this site to help support their academic peer review process.

SubSift workflow

SubSift for Developers

Developers can incorporate SubSift's functionality into their own applications using the web services hosted on this site as a research community resource. SubSift web services can be used individually or composed into workflows, such as the original submission sifting workflow depicted is the schematic below.

Submission Sifting workflow

The SubSift software is open source and freely available. If our publicly hosted SubSift web services are not appropriate for your particular application then the software is available as a download on Google Code.

Introducing SubSiftPeter Flach at KDD 2009

How SubSift worksSimon Price at WAPA 2010

Conferences using SubSift

  • ECML-PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases.
  • KDD: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.
  • PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining.
  • SDM: SIAM International Conference on Data Mining.

Journals using SubSift

  • Machine Learning, since January 2010.
  • Data Mining and Knowledge Discovery, since January 2013.

Citing SubSift


When referring to SubSift in a general context, please cite:

Price, S, Flach, PA, Spiegler, SR, Bailey, CP, Rogers, N., SubSift web services and workflows for profiling and comparing scientists and their published works. Future Generation Computing Systems, 29(2), ISSN 0167-739X, (pp. 569-581) 2013.

BibTeX and other formats available here.