以文献强度为基础的文献推荐系统

Literature Recommendation System Based on Literature Strength

目前的文献推荐系统大都着重在内容的相似程度上,并没有注意到不同的引用文献对于论文有不同的重要程度,并且在探讨引用文献的应用时,也没有注意到论文的撰写者在著作论文时会发生的实际情况。因此本研究主要探讨在利用引用文献做为推荐系统的基础上,如何区分出那些引用文献对于论文来说是重要的,进而将这些重要的引用文献筛选出来,并测试若是只用这些重要的引用文献做为推荐系统的基础时,是否能有效改善利用引用文献为基础的推荐系统效能。

Most of the current recommendation systems for papers focus on the similarity of the content of the papers,and have not noticed that different cited documents have different degrees of importance to the papers,and when discussing the application of cited documents,they have not paid attention to the actual circumstances that may occur when the writer writes the thesis.Therefore,this research mainly explores how to distinguish those cited documents that are important for the paper based on the use of cited documents as a recommendation system,and then screen out these important cited documents,and test if only these important documents are used as the basis of the recommendation system,can it effectively improve the performance of the recommendation system based on citing literature?