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Related Experiment Videos

Integer Linear Programming for Constrained Multi-Aspect Committee Review Assignment.

Maryam Karimzadehgan¹, Chengxiang Zhai

¹Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, 61801.

Information Processing & Management

|June 20, 2012

Summary

This summary is machine-generated.

This study introduces an automated system for assigning reviewers to documents, enhancing productivity for conference organizers and editors. The novel approach effectively matches reviewer expertise to multiple document topics, optimizing the review process.

Related Experiment Videos

Area of Science:

Artificial Intelligence
Operations Research
Information Science

Background:

Conference organizers, journal editors, and grant administrators face challenges in manual review assignment.
Existing methods do not adequately address multi-aspect topic coverage and expertise matching in committee review assignments.

Purpose of the Study:

To develop an algorithm for automated committee review assignment.
To address the problem of multi-aspect expertise matching in review assignments.

Main Methods:

The problem is formulated as an integer linear programming problem.
The proposed algorithm accommodates probabilistic or deterministic methods for multi-aspect modeling.

Main Results:

The algorithm demonstrates effectiveness and efficiency in committee review assignments.
Evaluation on a test set using ACM SIGIR publications validates the approach.

Conclusions:

The developed algorithm automates committee review assignments with multi-aspect expertise matching.
This approach significantly improves the productivity of academic and administrative processes.