Document Detail


Integer Linear Programming for Constrained Multi-Aspect Committee Review Assignment.
MedLine Citation:
PMID:  22711970     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Automatic review assignment can significantly improve the productivity of many people such as conference organizers, journal editors and grant administrators. A general setup of the review assignment problem involves assigning a set of reviewers on a committee to a set of documents to be reviewed under the constraint of review quota so that the reviewers assigned to a document can collectively cover multiple topic aspects of the document. No previous work has addressed such a setup of committee review assignments while also considering matching multiple aspects of topics and expertise. In this paper, we tackle the problem of committee review assignment with multi-aspect expertise matching by casting it as an integer linear programming problem. The proposed algorithm can naturally accommodate any probabilistic or deterministic method for modeling multiple aspects to automate committee review assignments. Evaluation using a multi-aspect review assignment test set constructed using ACM SIGIR publications shows that the proposed algorithm is effective and efficient for committee review assignments based on multi-aspect expertise matching.
Authors:
Maryam Karimzadehgan; Chengxiang Zhai
Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  Information processing & management     Volume:  48     ISSN:  0306-4573     ISO Abbreviation:  -     Publication Date:  2012 Jul 
Date Detail:
Created Date:  2012-6-19     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9877091     Medline TA:  Inf Process Manag     Country:  -    
Other Details:
Languages:  ENG     Pagination:  725-740     Citation Subset:  -    
Affiliation:
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, 61801.
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