基于用戶反饋的POI搜索引擎優(yōu)化研究
發(fā)布時(shí)間:2018-06-03 15:41
本文選題:POI搜索 + 訪問日志; 參考:《計(jì)算機(jī)工程與應(yīng)用》2010年32期
【摘要】:隨著互聯(lián)網(wǎng)經(jīng)濟(jì)的迅猛發(fā)展,PO(IPoint Of Interest)搜索成為空間信息服務(wù)業(yè)發(fā)展的核心技術(shù)之一。提高用戶滿意度無疑是POI搜索引擎的最終目標(biāo)。通過挖掘用戶訪問日志,建立反饋相似度模型,可提高搜索結(jié)果準(zhǔn)確度,優(yōu)化POI搜索引擎。通過理論分析,該方法在不增加計(jì)算時(shí)間的基礎(chǔ)上提高了搜索結(jié)果的準(zhǔn)確性。最后將該方法應(yīng)用于中國科學(xué)院計(jì)算技術(shù)研究所地理信息中心自主研發(fā)的通圖(www.tongmap.cn)地圖搜索引擎中,結(jié)合實(shí)際數(shù)據(jù)測試,說明該方法在優(yōu)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.
【作者單位】: 中國科學(xué)院計(jì)算技術(shù)研究所;
【基金】:國家高技術(shù)研究發(fā)展計(jì)劃(863)(No.2009AA12Z226)~~
【分類號】:TP391.3
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