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  • 1
    UID:
    gbv_524967385
    Format: Online-Ressource , v.: digital
    Edition: Online-Ausg. Springer-11645
    Edition: Springer eBook Collection. Computer Science
    ISBN: 9780306470196
    Series Statement: The Information Retrieval Series 7
    Content: Combining Approaches to Information Retrieval -- The use of Exploratory Data Analysis in Information Retrieval Research -- Language Models for Relevance Feedback -- Topic Detection and Tracking: Event Clustering as a Basis for First Story Detection -- Distributed Information Retrieval -- Topic-Based Language Models for Distributed Retrieval -- The Effect of Collection Organization and Query Locality on Information Retrieval System Performance -- Cross-Language Retrieval via Transitive Translation -- Building, Testing, and Applying Concept Hierarchies -- Appearance-Based Global Similarity Retrieval of Images.
    Content: The Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department ofthe University ofMassachusetts, Amherst in 1992. The core support for the Center came from a National Science Foun- tion State/Industry/University Cooperative Research Center(S/IUCRC) grant, although there had been a sizeable information retrieval (IR) research group for over 10 years prior to that grant. Thebasic goal ofthese Centers is to combine basic research, applied research, and technology transfer. The CIIR has been successful in each of these areas, in that it has produced over 270 research papers, has been involved in many successful government and industry collaborations, and has had a significant role in high-visibility Internet sites and start-ups. As a result of these efforts, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval. The CIIR focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed, text and multimedia databases. The scope of the work that is done in the CIIR is broad and goes significantly beyond “traditional” areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion. The research includes both low-level systems issues such as the design of protocols and architectures for distributed search, as well as more human-centered topics such as user interface design, visualization and data mining with text, and multimedia retrieval.
    Additional Edition: ISBN 9780792378129
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781475783605
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9780792378129
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781475783599
    Language: English
    Keywords: Datenbanksystem ; Multimedia ; Information Retrieval
    Author information: Croft, W. Bruce 1952-
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_9948621287502882
    Format: XVI, 306 p. , online resource.
    Edition: 1st ed. 2000.
    ISBN: 9780306470196
    Series Statement: The Information Retrieval Series, 7
    Content: The Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department ofthe University ofMassachusetts, Amherst in 1992. The core support for the Center came from a National Science Foun- tion State/Industry/University Cooperative Research Center(S/IUCRC) grant, although there had been a sizeable information retrieval (IR) research group for over 10 years prior to that grant. Thebasic goal ofthese Centers is to combine basic research, applied research, and technology transfer. The CIIR has been successful in each of these areas, in that it has produced over 270 research papers, has been involved in many successful government and industry collaborations, and has had a significant role in high-visibility Internet sites and start-ups. As a result of these efforts, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval. The CIIR focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed, text and multimedia databases. The scope of the work that is done in the CIIR is broad and goes significantly beyond "traditional" areas of information retrieval such as retrieval models, cross-lingual search, and automatic query expansion. The research includes both low-level systems issues such as the design of protocols and architectures for distributed search, as well as more human-centered topics such as user interface design, visualization and data mining with text, and multimedia retrieval.
    Note: Combining Approaches to Information Retrieval -- The use of Exploratory Data Analysis in Information Retrieval Research -- Language Models for Relevance Feedback -- Topic Detection and Tracking: Event Clustering as a Basis for First Story Detection -- Distributed Information Retrieval -- Topic-Based Language Models for Distributed Retrieval -- The Effect of Collection Organization and Query Locality on Information Retrieval System Performance -- Cross-Language Retrieval via Transitive Translation -- Building, Testing, and Applying Concept Hierarchies -- Appearance-Based Global Similarity Retrieval of Images.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9781475783605
    Additional Edition: Printed edition: ISBN 9780792378129
    Additional Edition: Printed edition: ISBN 9781475783599
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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