基于用户反馈的POI搜索引擎优化研究

发布时间：2018-06-03 15:41

本文选题：POI搜索 + 访问日志　；参考：《计算机工程与应用》2010年32期

【摘要】：随着互联网经济的迅猛发展,PO(IPoint Of Interest)搜索成为空间信息服务业发展的核心技术之一。提高用户满意度无疑是POI搜索引擎的最终目标。通过挖掘用户访问日志,建立反馈相似度模型,可提高搜索结果准确度,优化POI搜索引擎。通过理论分析,该方法在不增加计算时间的基础上提高了搜索结果的准确性。最后将该方法应用于中国科学院计算技术研究所地理信息中心自主研发的通图(www.tongmap.cn)地图搜索引擎中,结合实际数据测试,说明该方法在优化POI搜索引擎方面是行之有效的。
[Abstract]:With the rapid development of the Internet economy, PO (IPoint Of Interest) search has become one of the core technologies for the development of space information services. It is undoubtedly the ultimate goal of the POI search engine to improve the user satisfaction. By mining the user access log and establishing the feedback similarity model, the accuracy of the search results can be improved and the POI search engine is optimized. On the basis of theoretical analysis, this method improves the accuracy of the search results without increasing the calculation time. Finally, the method is applied to the www.tongmap.cn map search engine, which is independently developed by the geographic information center of the Institute of computing technology of the Academy of Sciences of China Academy of Sciences. The method is combined with the actual data test to show that the method is optimized for the POI search engine. The face is effective.
【作者单位】：中国科学院计算技术研究所;
【基金】：国家高技术研究发展计划(863)(No.2009AA12Z226)~~
【分类号】：TP391.3

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