Distinguishing humans from robots in web search logs:Preliminary results using query rates and intervals

Omer Duskin*, Dror G. Feitelson

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

21 Scopus citations

Abstract

The workload on web search engines is actually multiclass,derived from the activities of both human users and robots. It is important to distinguish between two classes in order to reliably characterize human search behavior, and to study the effect of robot activity We suggest an approach based on a multi-dimensional of search sessions, and take first steps to-ward implementing it by studying the interaction between query submittal rate and the minimal interval of time between different queries.

Original languageAmerican English
Title of host publicationProceedings of Workshop on Web Search Click Data, WSCD'09
Pages15-19
Number of pages5
DOIs
StatePublished - 2009
EventWorkshop on Web Search Click Data, WSCD'09 - Barcelona, Spain
Duration: 9 Feb 20099 Feb 2009

Publication series

NameProceedings of Workshop on Web Search Click Data, WSCD'09

Conference

ConferenceWorkshop on Web Search Click Data, WSCD'09
Country/TerritorySpain
CityBarcelona
Period9/02/099/02/09

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