为应对学术评价活动日益增多、评审成本过高、评价任务繁重等挑战,本文构建学术文献高效获取、研究成果主动推介和科研成果自动评价于一体的论文推荐-传播平台模型,运用仿真方法验证模型性能后提出利用平台用户的推荐-传播行为自动计算衡量学术论文贡献的影响指数、质量指数和价值指数的算法.基于论文推荐-传播平台开展学术评价能够共享科研人员劳动、提高科研群体效率、节省评价费用、使评价结果变得更客观.
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.
关键词
学术评价 /
协同过滤 /
同行评议 /
评价指标
Key words
academic evaluation /
collaborative filtering /
peer review /
evaluation index
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基金
浙江省高等学校图书情报工作委员会"云计算环境下的学科协同创新平台解决方案研究(2013TKT01,2013.01-2014.12)"项目.
