本文選題：旅游信息　切入點：地理坐標數(shù)據(jù)　出處：《通信學報》2017年05期

【摘要】：為彌補旅游相關(guān)網(wǎng)站旅游信息推薦的不足,以真實景區(qū)圖片地理坐標數(shù)據(jù)和游覽路徑數(shù)據(jù)為研究基礎(chǔ),提出一種混合密度聚類方法識別景點熱度,通過確定HITS算法預(yù)估景點吸引力,改進傳統(tǒng)ACO算法,設(shè)計一種包含單景區(qū)內(nèi)所有景點的游覽路徑生成算法,幫助用戶檢索旅游景點中優(yōu)質(zhì)資源并規(guī)劃有效的游覽路徑。為評估景區(qū)熱點和路線規(guī)劃方法的效果,進行多種算法對比實驗,結(jié)果表明所選方法具備高效性和實用性。
[Abstract]:In order to make up for the deficiency of tourism information recommendation of tourism related websites, a hybrid density clustering method is proposed to identify the heat of scenic spots based on the geographic coordinate data of real scenic spots and the data of tour paths.By determining the HITS algorithm to estimate the attraction of scenic spots and improving the traditional ACO algorithm, an algorithm is designed to generate tourist paths that include all the scenic spots in a single scenic spot, which can help users to retrieve the high quality resources in the tourist attractions and to plan the effective tour paths.In order to evaluate the effect of hot spots and route planning methods, a variety of algorithms are compared. The results show that the proposed method has high efficiency and practicability.
【作者單位】： 北京科技大學土木與資源工程學院;
【分類號】：TP311.13
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本文編號：1724530