2004
DOI: 10.1016/s0020-0255(03)00184-1
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Stochastic simulations of web search engines: RBF versus second-order regression models

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Cited by 15 publications
(12 citation statements)
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“…For example, Nielsen / NetRatings monitors the search behavior of approximately 500,000 people worldwide (Sullivan, 2006(Sullivan, , 2008, and datasets of this size present significant challenges to analysts. There has been research in overall characteristics of Web users (Jansen & Spink, 2005;Park, Bae, & Lee, 2005;Wang, Berry, & Yang, 2003;Wolfram, 1999), as well as methods to analyze these logs effectively and efficiently (Almpanidis, Kotropoulos, & Pitas, 2007;Meghabghab & Kandel, 2004), along with several studies investigating other aspects of Web searching. (For a comprehensive review, see Markey, 2007aMarkey, , 2007b.)…”
Section: Review Of Literaturementioning
confidence: 99%
“…For example, Nielsen / NetRatings monitors the search behavior of approximately 500,000 people worldwide (Sullivan, 2006(Sullivan, , 2008, and datasets of this size present significant challenges to analysts. There has been research in overall characteristics of Web users (Jansen & Spink, 2005;Park, Bae, & Lee, 2005;Wang, Berry, & Yang, 2003;Wolfram, 1999), as well as methods to analyze these logs effectively and efficiently (Almpanidis, Kotropoulos, & Pitas, 2007;Meghabghab & Kandel, 2004), along with several studies investigating other aspects of Web searching. (For a comprehensive review, see Markey, 2007aMarkey, , 2007b.)…”
Section: Review Of Literaturementioning
confidence: 99%
“…It all started with the revolutionary work done by Kleinberg [22], consolidated by Brin and Page [16], culminating in what is now famous as the Google [19] search engine for the web. These works have primarily been concentrating on harnessing the additional information hidden in the hypertext structure of the web pages [26]. But, both the content based approach and the link based approach are totally dependent on the effectiveness of their ''feature extraction'' mechanisms, with no apparent consideration to the preference of the user.…”
Section: Related Workmentioning
confidence: 99%
“…Eq. (14) provides an acceptable initial spread in which r i increases as the number of input variables increases or the number of hidden units decreases. At the output layer the partial derivatives of X 2 and W could be written as…”
Section: Training With a Learning Strategymentioning
confidence: 99%
“…To solve these problems, radial basis function neural networks (RBFNNs) were proposed, which represent the nonlinear mappings between inputs and outputs of a system. RBFNNs have been widely used in different areas such as nonlinear control of dynamical systems [12], stochastic simulation of web search engines [14] and audio content identification and information retrieval [16].…”
Section: Introductionmentioning
confidence: 99%