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基于数据挖掘的sphinx站内搜索结果改进的设计与实现

esign and Implementation of SPHINX station search results improved based on Data Mining

中文摘要英文摘要

sphinx在站内中文全文搜索能够有效的解决搜索效率的问题,但对于特定的应用场景,搜索结果准确性有待提高,为解决此问题,本文设计了基于数据挖掘的shpinx搜索结果改进的方案,此方案通过搜集用户搜索关键词,并加以redis数据缓存后再存储,再进行mmseg词典构造的优化,通过与先前的搜索结果进行对比,结果表明,本文提出的基于数据挖掘的shpinx搜索结果改进的方案能够提搜索的准确性。

Sphinx Chinese full-text search in the station can effectively solve the problem of search efficiency, but for a particular application scenario, the search result accuracy needs to be improved, in order to solve this problem, this article proposes based on data mining shpinx search results to improve the program, this program by collecting user search keywords, and then be redis data cache memory, and then optimize mmseg dictionary structure through the previous search results were compared, the results showed that based on data mining shpinx search results to improve the program proposed can mention search accuracy.

武红宽、马怡伟

计算技术、计算机技术

mmseg词典sphinx数据挖掘

mmseg dictionarysphinxdata mining

武红宽,马怡伟.基于数据挖掘的sphinx站内搜索结果改进的设计与实现[EB/OL].(2016-02-03)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/201602-43.点此复制

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