Abstract
In this demo, we present a method called LocalRank to rank web pages. Our method integrates the web and a local user database with semantic links including geographical ones. We first construct a graph structure, consisting of database entries, their related web pages and relationships between them. Then a link analysis is performed to compute a LocalRank value for each node. The result called LocalRank is a rank value for a web page to assess its relevance degree to database entries and its popularity on a local web space. In our demo, we will show our experimental results for a local restaurant database. The local web pages related to the database entries are highly ranked based on our method.
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Zhang, J., Ishikawa, Y., Kurokawa, S., Kitagawa, H.: LocalRank: Ranking Web Pages Considering Geographical Locality by Integrating Web and Databases. In: Andersen, K.V., Debenham, J., Wagner, R. (eds.) DEXA 2005. LNCS, vol. 3588, pp. 145–155. Springer, Heidelberg (2005)
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© 2006 Springer-Verlag Berlin Heidelberg
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Zhang, J., Ishikawa, Y., Kurokawa, S., Kitagawa, H. (2006). LocalRank: A Prototype for Ranking Web Pages with Database Considering Geographical Locality. In: Zhou, X., Li, J., Shen, H.T., Kitsuregawa, M., Zhang, Y. (eds) Frontiers of WWW Research and Development - APWeb 2006. APWeb 2006. Lecture Notes in Computer Science, vol 3841. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610113_137
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DOI: https://doi.org/10.1007/11610113_137
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31142-3
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