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Personalisation of web search: exploring search query parameters and user information privacy implications: the case of google

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dc.contributor.authorFernando, A.T.J.
dc.contributor.authorDu, J.T.
dc.contributor.authorAshman, H.L.
dc.contributor.conferenceInternational ACM SIGIR conference on Research & development in information retrieval (11 Jul 2014 : Queensland, Australia)
dc.date.issued2014
dc.description.abstractPersonalised search adapts search results to the needs and interests of users. This is done through user data collected through various implicit and explicit methods and is used to build profiles of information needs of users. This paper highlights the need to explore search query parameters and determine their impact on personalisation. This is a first step in exploring the mechanisms of personal data collection and how personalised search uses personal data, which subsequently impacts the information privacy of users. It was found that location parameters have more impact on personalisation than the parameter 'pws' that switches personalisation on or off. Hence, it is important to undertake further research that investigates the impact of other types of search query parameters, their contribution towards search personalisation and their impact on user information privacy
dc.identifier.citationCEUR Workshop Proceedings, 2014, vol.1225, pp.31-36
dc.identifier.isbn9781450322577
dc.identifier.issn1613-0073
dc.identifier.urihttps://hdl.handle.net/1959.8/160655
dc.language.isoen
dc.publisherACM - Association for Computing Machinery Inc
dc.publisher.placeAustralia
dc.rightsCopyright 2014 ACM
dc.subjectinformation privacy
dc.subjectsearch personalisation
dc.subjectsearch query parameters
dc.subjectuser privacy concerns
dc.titlePersonalisation of web search: exploring search query parameters and user information privacy implications: the case of google
dc.typeConference paper
pubs.publication-statusPublished
ror.mmsid9915910061701831

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