The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Descrevemos um índice para estimar o nível de interesse em páginas da Web. Este índice de “interesse baseado no tempo” (TBI) combina uma equação que reflete os acessos às páginas e uma equação que reflete a diminuição do interesse ao longo do tempo. Essas equações funcionam simultaneamente por meio de um parâmetro que se baseia no tempo desde o último acesso. Estimamos experimentalmente a razão de diminuição do índice TBI e avaliamos as características da equação TBI. Descobrimos que o índice segue a distribuição de Zipf, indicando que isso reflete a mudança na popularidade. Também apresentamos um sistema de análise de log de acesso chamado CyberRanking, que inclui análise TBI. O CyberRanking analisa os logs de acesso dos servidores Web e apresenta os resultados em gráficos 2D ou 3D em um navegador Web.
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Takashi HATASHIMA, Toshihiro MOTODA, Shuichiro YAMAMOTO, "An "Interest" Index for WWW Servers and CyberRanking" in IEICE TRANSACTIONS on Information,
vol. E83-D, no. 4, pp. 729-734, April 2000, doi: .
Abstract: We describe an index for estimating the level of interest in Web pages. This "time-based interest" (TBI) index combinates an equation reflecting page accesses and an equation reflecting the decrease in interest over time. These equations work simultaneously by using a parameter that is based on the time since the last access. We experimentally estimated the decrease ratio of the TBI index and evaluated the characteristics of the TBI equation. We found that the index follows Zipf's distribution, indicating that reflects the change in popularity. We also introduce an access-log analysis system called CyberRanking that includes TBI analysis. CyberRanking analyzes the access logs of Web servers and presents the results in 2-D or 3-D graph on a Web browser.
URL: https://global.ieice.org/en_transactions/information/10.1587/e83-d_4_729/_p
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@ARTICLE{e83-d_4_729,
author={Takashi HATASHIMA, Toshihiro MOTODA, Shuichiro YAMAMOTO, },
journal={IEICE TRANSACTIONS on Information},
title={An "Interest" Index for WWW Servers and CyberRanking},
year={2000},
volume={E83-D},
number={4},
pages={729-734},
abstract={We describe an index for estimating the level of interest in Web pages. This "time-based interest" (TBI) index combinates an equation reflecting page accesses and an equation reflecting the decrease in interest over time. These equations work simultaneously by using a parameter that is based on the time since the last access. We experimentally estimated the decrease ratio of the TBI index and evaluated the characteristics of the TBI equation. We found that the index follows Zipf's distribution, indicating that reflects the change in popularity. We also introduce an access-log analysis system called CyberRanking that includes TBI analysis. CyberRanking analyzes the access logs of Web servers and presents the results in 2-D or 3-D graph on a Web browser.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - An "Interest" Index for WWW Servers and CyberRanking
T2 - IEICE TRANSACTIONS on Information
SP - 729
EP - 734
AU - Takashi HATASHIMA
AU - Toshihiro MOTODA
AU - Shuichiro YAMAMOTO
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Information
SN -
VL - E83-D
IS - 4
JA - IEICE TRANSACTIONS on Information
Y1 - April 2000
AB - We describe an index for estimating the level of interest in Web pages. This "time-based interest" (TBI) index combinates an equation reflecting page accesses and an equation reflecting the decrease in interest over time. These equations work simultaneously by using a parameter that is based on the time since the last access. We experimentally estimated the decrease ratio of the TBI index and evaluated the characteristics of the TBI equation. We found that the index follows Zipf's distribution, indicating that reflects the change in popularity. We also introduce an access-log analysis system called CyberRanking that includes TBI analysis. CyberRanking analyzes the access logs of Web servers and presents the results in 2-D or 3-D graph on a Web browser.
ER -