LocalRank: Ranking Web Pages Considering Geographical Locality by Integrating Web and Databases
LocalRank: Ranking Web Pages Considering Geographical Locality by Integrating Web and Databases
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DOI：
10.1007/11546924_15
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发表时间：
2005-08
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影响因子：
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通讯作者：
Jianwei Zhang;Y. Ishikawa;S. Kurokawa;H. Kitagawa
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文献类型：
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作者：
Jianwei Zhang;Y. Ishikawa;S. Kurokawa;H. Kitagawa
在本文中，我们提出了一种称为LocalRank的方法来排名网页，通过整合网络和用户数据库中包含的信息在一个特定的地理区域。LocalRank是网页的排名值，用于评估其与数据库条目的相关程度，考虑地理位置及其在本地Web空间中的受欢迎程度。在我们的方法中，我们首先使用数据库中包含的条目构建一个链接图结构。此图的节点由数据库条目及其相关网页组成。图中的边由语义链接组成，除了传统的超链接之外，还包括这些节点之间的地理链接。然后执行链接分析以计算每个节点的LocalRank值。LocalRank可以表示用户的兴趣，因为这个图有效地集成了Web和用户数据库。我们的实验结果表明，本地的网页相关的数据库条目的排名很高，基于我们的方法。
In this paper, we propose a method called LocalRank to rank web pages by integrating the web and a user database containing information on a specific geographical area. LocalRank is a rank value for a web page to assess its relevance degree to database entries considering geographical locality and its popularity on a local web space. In our method, we first construct a linked graph structure using entries contained in the database. The nodes of this graph consist of database entries and their related web pages. The edges in the graph are composed of semantic links including geographical links between these nodes, in addition to conventional hyperlinks. Then a link analysis is performed to compute a LocalRank value for each node. LocalRank can represent user’s interest since this graph effectively integrates the web and the user database. Our experimental results for a local restaurant database shows that local web pages related to the database entries are highly ranked based on our method.