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  • × author_ss:"Larson, R.R."
  1. Larson, R.R.: Bibliometrics of the World Wide Web : an exploratory analysis of the intellectual structure of cyberspace (1996) 0.05 
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    Abstract
    Examines the explosive growth and the bibliometrics of the WWW based on both analysis of over 30 GBytes of WWW pages collected by the Inktomi Web Crawler and on the use of the DEC AltaVista search engine for cocitation analysis of a set of Earth Science related WWW sites. Examines the statistical characteristics of web documents and their links, and the characteristics of highly cited web documents
  2. Larson, R.R.: Design and development of a network-based electronic library (1994) 0.01 
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    Abstract
    Among the proposed innovations in the Clinton Administration's plans to develop a National Information Infrastructure is the creation of, and support for, digital or electronic libraries to store and provide access to the vast amounts of information expected to made available over the 'information superhighway'. Although the exact nature and future architecture of such libraries is still a matter for experimentation (and debate), there are several pioineering efforts underway to establish electronic libraries and to provide access to them. This paper describes one such effort underway at the University of California at Berkeley. In collaboration with four other universities we are developing interoperable electronic library servers containing the Computer Science technical reports for each participant and making them available over the Internet using standard protocols
  3. Larson, R.R.: Information retrieval systems (2009) 0.01 
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    Abstract
    Information retrieval (IR) systems aim to select relevant material from large collections of information in response to user queries. The approaches used to accomplish this have been the focus of much research and development over the past 50 years, and have led to the algorithms underlying many commercial and Web-based search engines today. This entry describes the common components that go into the design of IR systems (from text processing to inverted file indexes). The major classes (or models) of retrieval algorithms (Boolean, vector, and probabilistic) are described along with formal definitions of the basic form of these algorithms and some of the variations in common use in IR research. In addition, the entry examines query expansion techniques, and in particular relevance feedback, and how they are used in IR systems.

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