Novel tools to streamline the conference review process-Reference-Cited by-同舟云学术

Novel tools to streamline the conference review process

Published:2010-05-27 Issue:2 Volume:11 Page:63-67
ISSN:1931-0145
Container-title:ACM SIGKDD Explorations Newsletter
language:en
Short-container-title:SIGKDD Explor. Newsl.

Author:

Flach Peter A.¹,Spiegler Sebastian¹,Golénia Bruno¹,Price Simon¹,Guiver John²,Herbrich Ralf²,Graepel Thore²,Zaki Mohammed J.³

Affiliation:

1. University of Bristol, United Kingdom

2. Microsoft Research, Cambridge, United Kingdom

3. Rensselaer Polytechnic Institute, Troy, NY, USA

Abstract

The SIGKDD'09 Research Track received 537 paper submissions, which were reviewed by a Program Committee of 199 members, and a Senior Program Committee of 22 members. We used techniques from artificial intelligence and data mining to streamline and support this complicated process at three crucial stages: bidding by PC members on papers, assigning papers to reviewers, and calibrating scores obtained from the reviews. In this paper we report on the approaches taken, evaluate how well they worked, and describe some further work done after the conference.

Publisher

Association for Computing Machinery (ACM)

Link

https://dl.acm.org/doi/pdf/10.1145/1809400.1809413

Reference9 articles.

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2. T. Minka J. Winn J. Guiver and A. Kannan. Infer. NET 2.3 2009. Microsoft Research Cambridge. http://research.microsoft.com/infernet. T. Minka J. Winn J. Guiver and A. Kannan. Infer. NET 2.3 2009. Microsoft Research Cambridge. http://research.microsoft.com/infernet.

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