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2010
Springer

Expertise Matching via Constraint-Based Optimization

8 years 3 months ago
Expertise Matching via Constraint-Based Optimization
Abstract--Expertise matching, aiming to find the alignment between experts and queries, is a common problem in many real applications such as conference paper-reviewer assignment, product-reviewer alignment, and product-endorser matching. Most of existing methods for this problem usually find "relevant" experts for each query independently by using, e.g., an information retrieval method. However, in real-world systems, various domain-specific constraints must be considered. For example, to review a paper, it is desirable that there is at least one senior reviewer to guide the reviewing process. An important question is: "Can we design a framework to efficiently find the optimal solution for expertise matching under various constraints?" This paper explores such an approach by formulating the expertise matching problem in a constraintbased optimization framework. Interestingly, the problem can be linked to a convex cost flow problem, which guarantees an optimal solut...
Wenbin Tang, Jie Tang, Chenhao Tan
Added 15 Feb 2011
Updated 15 Feb 2011
Type Journal
Year 2010
Where WEBI
Authors Wenbin Tang, Jie Tang, Chenhao Tan
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