摘要
在文献检索领域,如何更好地检索到与用户检索请求相匹配的文献是一个值得研究的问题。通常,检索系统往往会采用一定的排序算法对与用户检索请求相关的文献进行排序。然而,由于文献数量庞大,文献内容繁多,当前的文献检索系统的性能仍有待提高。文章基于Lucene排序机制及PageRank算法,提出了一种新的文献搜索排序算法。该算法同时考虑了文献的相关性和权威性。通过实验表明,与传统的检索算法相比,该算法的性能有一定程度的提高。
In the field of bibliography retrieval, how to retrieve literatures that meet users’ need is a complicated problem. Usually,retrieval systems tend to adopt certain sorting algorithm for sorting the user retrieval request related literature. However, the performance of the current literature retrieval system needs to be improved. Based on Lucene sorting mechanism and PageRank algorithm, this paper proposes a new literature search ranking algorithm. The algorithm takes into account both the correlation literature and authority. Experiments show that compared with the traditional retrieval algorithm, the performance of this algorithm has a certain degree of improvement.
作者
王丹
Wang Dan(University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China)
出处
《计算机时代》
2019年第1期59-62,66,共5页
Computer Era
基金
2016年电子科技大学教学改革重点项目"以效果为导向的电子信息类职业技能培训质量评价研究"(2016XJYZD020)
