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Information foraging / Random walk / Normal distribution / World Wide Web / HTTP cookie / Inverse Gaussian distribution / Long Tail / Probability distribution / Statistics / Human–computer interaction / Internet marketing


Strong Regularities in World Wide Web Surfing Bernardo A. Huberman, Peter L. T. Pirolli, James E. Pitkow and Rajan M. Lukose Xerox Palo Alto Research Center 3333 Coyote Hill Road Palo Alto, CA 94304
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Document Date: 1999-03-18 17:03:03

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City

Vancouver / Cambridge / Palo Alto / /

Company

Princeton University Press / America Online / Xerox Corporation / Citibank / Clarendon Press / /

Country

Canada / /

Facility

College of Computing / Stanford University / Georgia Institute of Technology / /

IndustryTerm

online data / Web applications / Web structure / particular site / universal law / given Web topology / large Web site / query-based search engines / Web Surfing Bernardo A. Huberman / Web site structure / Online Publication / Web user population / activation algorithm / embedded media / food / electronic commerce / /

OperatingSystem

L3 / /

Organization

office of Naval Research / National Science Foundation / Georgia Institute of Technology / Stanford University / Princeton University / College of Computing / Rajan M. Lukose Xerox Palo Alto Research Center / /

Person

James E. Pitkow / Rajan M. Lukose Xerox Palo Alto / M. Van Alstyne / Mark Crovella / Dan Aronson / Ni / Peter L. T. Pirolli / /

Position

representative sample / representative / /

ProvinceOrState

California / Massachusetts / /

PublishedMedium

Scientific American / /

SportsLeague

Stanford University / /

Technology

ISDN / spreading activation algorithm / caching / HTML / /

URL

http /

SocialTag