The current system for scholarly information dissemination may be amenable to significant improvement. In particular, going from the current system of journal publication to one of self-distributed documents offers significant cost and timeliness advantages. A major concern with such alternatives is how to provide the value currently afforded by the peer review system. This paper proposes a mechanism that could plausibly supply such value. In the peer review system, papers are judged meritorious if good reviewers give them good reviews. In its place, the report proposes a collaborative filtering algorithm that automatically rates reviewers, and incorporates the quality of the reviewer into the metric of merit for the paper. Such a system seems to provide all the benefits of the current peer review system, while at the same time being much more flexible. The researchers have implemented a number of parameterized variations of this algorithm, and tested them on data available from a quite different application. Initial experiments suggest that the algorithm is in fact ranking reviewers reasonably. (Contains 19 references.) (Author/AEF)