Abstract: To cope with the challenges of increasing evaluation activities, growing evaluation cost, and heavy evaluation requirements, this paper constructs a paper recommendation-propagation platform model which can integrate the efficient acquisition ofacademic literatures, active propagation of research achievements, and automatic evaluation of scientific achievements. After validating the performance of the platform model with computer simulation method, algorithms are also proposed to compute the influence index, quality index, and value index which are used to measure the academic contribution of scientific papers based on users' recommendation-propagation behaviors. The academic evaluation method based on the paper recommendation- propagation platform model can share researchers' review works with others, improve their efficiency, reduce review cost, and make the evaluation results more objective.

Key words: academic evaluation, collaborative filtering, peer review, evaluation index