Advanced database systems
R-trees: a dynamic index structure for spatial searching
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
Web Information Retrieval Based on the Localness Degree
DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
Detecting geographic locations from web resources
Proceedings of the 2005 workshop on Geographic information retrieval
Web information credibility analysis by geographical social support
Proceedings of the 3rd International Universal Communication Symposium
Retrieving regional information from web by contents localness and user location
AIRS'04 Proceedings of the 2004 international conference on Asian Information Retrieval Technology
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With the spreading of the Internet, information about our daily life and our residential region is becoming to be more and more active on the WWW (World Wide Web). That's to say, there are a lot of Web pages, whose content is 'local' and may only interest residents of a narrow region. The conventional information retrieval systems and search engines, such as Google[1], Yahoo[2], etc., are very useful to help users finding interesting information. However, it's not yet easy to find or exclude 'local' information about our daily life and residential region. In this paper, we propose a localness-filter for searched Web pages, which can discover and exclude information about our daily life and residential region from the searched Web pages. We compute the localness degree of a Web page by 1) estimating its region dependence: the frequency of geographical words and the content coverage of this Web page, and 2) estimating the ubiquitousness of its topic: in other words, we estimate if it is usual information that appears everyday and everywhere in our daily life.