基于Lotkaian信息计量学的数字图书馆排序
Using Lotkaian Informetrics for Ranking in Digital Libraries
摘要：
本文的目的是提出利用文献计量学和科学计量学中的模型、理论和规律来加强信息检索过程，特别是排序。许多人造数据集中的一个常见模式是洛特卡定律，它遵循众所周知的幂律分布。这些信息量分布可以用来给一个替代的顺序，以大型和分散的结果集，并可以作为一个新的排名机制。利用数字图书馆系统中信息的多元表示来提高检索质量，克服传统的基于检索词的排序方法的缺点，使用户能够从不同的角度探索检索到的文档集。
英文摘要：
The purpose of this paper is to propose the use of models, theories and laws in bibliometrics and scientometrics to enhance information retrieval processes, especially ranking. A common pattern in many man-made data sets is Lotka's Law which follows the well-known power-law distributions. These informetric distributions can be used to give an alternative order to large and scattered result sets and can be applied as a new ranking mechanism. The polyrepresentation of information in Digital Library systems is used to enhance the retrieval quality, to overcome the drawbacks of the typical term-based ranking approaches and to enable users to explore retrieved document sets from a different perspective.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
