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Purpose – This paper aims to demonstrate the role that the Google general search engine plays in the information-seeking behaviour of scientists, particularly physicists and astronomers. Design/methodology/approach – The paper is based on a mixed-methods study including 56 semi-structured interviews, a questionnaire survey of 114 respondents (47 per cent(More)
Search engines retrieve and rank Web pages which are not only relevant to a query but also important or popular for the users. This popularity has been studied by analysis of the links between Web resources. Link-based page ranking models such as PageRank and HITS assign a global weight to each page regardless of its location. This popularity measurement(More)
Many queries sent to search engines refer to specific locations in the world. Location-based queries try to find local services and facilities around the user’s environment or in a particular area. This paper reviews the specifications of geospatial queries and discusses the similarities and differences between location-based queries and other queries. We(More)
. A location-based search engine must be able to find and assign proper locations to Web resources. Host, content and metadata location information are not sufficient to describe the location of resources as they are ambiguous or unavailable for many documents. We introduce target location as the location of users of Web resources. Target location is(More)
The World Wide Web has developed fast and many people use search engines to capture information from the Web. This article reviews past, present and future of search engines. Papers published in four major Web and information management conferences were surveyed to track research interests in the last five years. Web search and information retrieval topics(More)
Location­based web searching is one of the popular tasks expected from the search engines. A location­based query consists of a topic and a reference location. Unlike general web search, in location­based search it is expected to find and rank documents which are not only related to the query topic but also geographically related to the location(More)
In this paper, the estimation of parameters based on Type-II censored sample from a Weibull distribution is studied. The maximum likelihood estimators are developed for estimating the unknown parameters. The observed Fisher information matrix, as well as the asymptotic variance-covariance matrix of the MLEs are derived. Approximate confidence intervals for(More)
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