Automating the assignment of submitted manuscripts to reviewers
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Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
IR evaluation methods for retrieving highly relevant documents
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Graph-based ranking algorithms for e-mail expertise analysis
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Expertise identification using email communications
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Integer linear programming inference for conditional random fields
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Pachinko allocation: DAG-structured mixture models of topic correlations
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Topics over time: a non-Markov continuous-time model of topical trends
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Mining for proposal reviewers: lessons learned at the national science foundation
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An integer programming approach for frequent itemset hiding
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Hierarchical Language Models for Expert Finding in Enterprise Corpora
ICTAI '06 Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence
Maximizing Accuracy of Shared Databases when Concealing Sensitive Patterns
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Constraint-based sentence compression an integer programming approach
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Expertise modeling for matching papers with reviewers
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A hybrid knowledge and model approach for reviewer assignment
Expert Systems with Applications: An International Journal
An algorithm to determine peer-reviewers
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Multi-aspect expertise matching for review assignment
Proceedings of the 17th ACM conference on Information and knowledge management
Constrained multi-aspect expertise matching for committee review assignment
Proceedings of the 18th ACM conference on Information and knowledge management
Probabilistic models for expert finding
ECIR'07 Proceedings of the 29th European conference on IR research
Multi-aspect group formation using facility location analysis
Proceedings of the Seventeenth Australasian Document Computing Symposium
Expert group formation using facility location analysis
Information Processing and Management: an International Journal
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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.