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.
Wang Zexian
. The Research and Improvement of Catalog Search Scoring Algorithm of Similarity Based on Lucene[J]. Library and Information Service, 2014
, 58(04)
: 94
-98
.
DOI: 10.13266/j.issn.0252-3116.2014.04.015
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