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Published Articles >> Table of Contents >> Abstract
22nd International Conference on Data Engineering Workshops (ICDEW'06)
p. x134
Quality Estimation of Local Contents Based on PageRank Values of Web Pages
Yutaka Kabutoya, Kyoto University, Japan
Takayuki Yumoto, Kyoto University, Japan
Satoshi Oyama, Kyoto University, Japan
Keishi Tajima, Kyoto University, Japan
Katsumi Tanaka, Kyoto University, Japan
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.121
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| Abstract |
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Recently, it is getting more frequent to search not Web
contents but local contents, e.g., by Google Desktop Search.
Google succeeded in the Web search because of its PageRank
algorithm for the ranking of the search results. PageRank
estimates the quality of Web pages based on their popularity,
which in turn is estimated by the number and the
quality of pages referring to them through hyperlinks. This
algorithm, however, is not applicable when we search local
contents without link structure, such as text data. In this research,
we propose a method to estimate the quality of local
contents without link structure by using the PageRank values
of Web contents similar to them. Based on this estimation,
we can rank the desktop search results. Furthermore,
this method enables us to search contents across different
resources such as Web contents and local contents. In this
paper, we applied this method to Web contents, calculated
the scores that estimate their quality, and we compare them
with their page quality scores by PageRank.
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 Additional Information
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Citation:
Yutaka Kabutoya, Takayuki Yumoto, Satoshi Oyama, Keishi Tajima, Katsumi Tanaka,
"Quality Estimation of Local Contents Based on PageRank Values of Web Pages,"
icdew,
p. x134,
22nd International Conference on Data Engineering Workshops (ICDEW'06),
2006
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