对Lucene内部的相似度评分算法进行研究分析，指出其在书目搜索中，未考虑图书的受欢迎度这一因素对搜索结果排序的影响。提出一种改进的算法并予以实现。实验结果证明，改进的算法能将较受读者欢迎的图书排列在前，提升读者的书目搜索体验。
It is a better solution to develop catalog search system based on Lucene. After analyzing and studying on the default scoring algorithm of Lucene similarity, the author points out that it does not consider the popularity for the sorting of search results when searching books catalog. The author puts forward and achieves an improving algorithm. The experimental results show that the improving algorithm can put the popular books ahead of the sorting list as well as improve the readers' catalog searching experience.
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