MATCHING REVIEWERS TO REVIEW OBJECTS

Techniques are described for incorporating different types of input available to administrators responsible for assigning reviewers (persons) to objects to be reviewed. A plurality of types of assignment ranking algorithms is provided. Each ranking algorithm can output a different set of candidate assignments (reviewer-review object pairs) with corresponding ranks/weights (measures of how well object fit reviewers). Some ranking algorithms may automatically generate assignments by using information about review objects and reviewers to find matches therebetween. Other algorithms might simply rank or weigh suggested matches (e.g., from manual input). The ranked/weighted assignments from the various algorithms are combined to produce a final result set of suggested assignments of reviewers. In one embodiment, a bidding algorithm, referral algorithm, and a relevance algorithm may be used, and intermediate results therefrom are combined for a final result.