基于学术能力及合作关系网络的学者推荐研究

Scholars Recommend Research Based on Academic Competence and Collaborative Networks

【目的/意义】根据学者当前的科研需求基于学术能力与合作关系网络为其推荐潜在合作学者,有利于增强学术交流合作,促进科研发展。【方法/过程】从学者的学术能力和合作关系网络两个维度构建推荐模型,通过相关学者的学术能力挖掘候选推荐学者的知识覆盖度,根据历史合作关系网络挖掘合作质量,综合计算在这两个层面的推荐值实现合作学者推荐。最终以百度学术学者主页数据进行实证以验证模型的有效性和有用性。【结果/结论】将学者当前科研任务的合作需求加入到推荐模型中构建多维推荐技术,符合科研用户需求,推动学术的交流合作,模型具有较好地应用性。

【Purpose/significance】According to scholars’current scientific research needs,academic talents and cooperation networks are recommended for potential scholars,which will help enhance academic exchanges and cooperation and promote the development of scientific research.【Method/process】The recommendation model is constructed from two dimensions of scholars’academic ability and network of cooperative relationships.The knowledge coverage of the target scholars is tapped through the academic ability of the relevant scholars;the cooperation quality is tapped according to the historical cooperation relationship network.Comprehensive calculations are recommended at these two levels to achieve cooperation scholars’recommendations.And Baidu academic scholar data are taken as an example to verify the effectiveness of recommendation.【Result/conclusion】It is significant and applicable to employ current requirements to scholar recommendation method,which meet scholars’specific requirements in scientific social website.