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Estimation of Geographic Relevance for Web Objects Using Probabilistic Models

机译：使用概率模型估计Web对象的地理相关性

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摘要

The rapidly increasing use of geographically restrictive web search has made determination of the geographic relevance of web content an important task. We have developed a method that uses Gaussian mixture models to estimate the geographic relevance of web pages and arbitrary topics and have implemented a visualization interface that maps pages and topics to geographic space. The system enables the user to retrieve web pages and topics expressed on the Web that are relevant to an arbitrary geographic area.

机译：地理上受限制的Web搜索的快速增长使确定Web内容的地理相关性成为一项重要任务。我们已经开发出一种使用高斯混合模型来估算网页和任意主题的地理相关性的方法，并实现了将页面和主题映射到地理空间的可视化界面。该系统使用户能够检索与任意地理区域相关的网页和Web上表达的主题。

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来源
《》|2008年|124-139|共16页
会议地点 Shanghai(CN);Shanghai(CN)
作者
Taro Tezuka; Hiroyuki Kondo; Katsumi Tanaka;
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作者单位

Institute of Science and Engineering, Ritsumeikan University 1-1-1 Noji-higashi, Kusatsu-shi, Shiga, 525-8577, Japan;

Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan;

Graduate School of Informatics, Kyoto University Yoshida-honmachi, Sakyo-ku, Kyoto, 606-8501, Japan;

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会议组织
原文格式 PDF
正文语种 eng
中图分类计算机网络;
关键词
geographic web search; gaussian mixture models; topic-level search;

机译：地理网络搜索；高斯混合模型；主题级搜索;

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专利

1. A NOVEL PROBABILISTIC MODEL FOR OBJECT RECOGNITION AND POSE ESTIMATION [J] . J. HORNEGGER, H. NIEMANN International Journal of Pattern Recognition and Artificial Intelligence . 2001,第2期

机译：对象识别和姿势估计的新概率模型
2. Mental models for web objects: Where do users expect to find the most frequent objects in online shops, news portals, and company web pages? [J] . Sandra P. Roth, Peter Schmutz, Stefan L. Pauwels, Interacting with Computers . 2010,第2期

机译：Web对象的心理模型：用户希望在网上商店，新闻门户和公司网页中找到最频繁的对象？
3. Unsupervised Learning of Probabilistic Object Models (POMs) for Object Classification, Segmentation, and Recognition Using Knowledge Propagation [J] . Chen Yuanhao, Zhu Long (Leo), Yuille Alan, Pattern Analysis and Machine Intelligence, IEEE Transactions on . 2009,第10期

机译：使用知识传播的对象分类，分段和识别的概率对象模型（POM）的无监督学习
4. Estimation of Geographic Relevance for Web Objects Using Probabilistic Models [C] . Taro Tezuka, Hiroyuki Kondo, Katsumi Tanaka International Symposium on Web and Wireless Geographical Information Systems . 2008

机译：概率模型估计Web对象的地理相关性
5. The Wetland Object Model (WOM): A geographic object-based simulation framework for studies in wetland ecohydrology [D] . Richardson, Murray C. 2003

机译：湿地对象模型（WOM）：基于地理对象的模拟框架，用于湿地生态水文学研究
6. Probabilistic estimation of residential air exchange rates for population-based human exposure modeling [O] . LK Baxter, C Stallings, L Smith, -1

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7. An integrated probabilistic model for scanmatching, moving object detection and motion estimation [O] . Joop Van De Ven, Fabio Ramos, Gian Diego Tipaldi 2010

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Estimation of Geographic Relevance for Web Objects Using Probabilistic Models

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