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  • × subject_ss:"Information retrieval"
  1. Social information retrieval systems : emerging technologies and applications for searching the Web effectively (2008) 0.07
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    Content
    Inhalt Collaborating to search effectively in different searcher modes through cues and specialty search / Naresh Kumar Agarwal and Danny C.C. Poo -- Collaborative querying using a hybrid content and results-based approach / Chandrani Sinha Ray ... [et al.] -- Collaborative classification for group-oriented organization of search results / Keiichi Nakata and Amrish Singh -- A case study of use-centered descriptions : archival descriptions of what can be done with a collection / Richard Butterworth -- Metadata for social recommendations : storing, sharing, and reusing evaluations of learning resources / Riina Vuorikari, Nikos Manouselis, and Erik Duval -- Social network models for enhancing reference-based search engine rankings / Nikolaos Korfiatis ... [et al.] -- From PageRank to social rank : authority-based retrieval in social information spaces / Sebastian Marius Kirsch ... [et al.] -- Adaptive peer-to-peer social networks for distributed content-based Web search / Le-Shin Wu ... [et al.] -- The ethics of social information retrieval / Brendan Luyt and Chu Keong Lee -- The social context of knowledge / Daniel Memmi -- Social information seeking in digital libraries / George Buchanan and Annika Hinze -- Relevant intra-actions in networked environments / Theresa Dirndorfer Anderson -- Publication and citation analysis as a tool for information retrieval / Ronald Rousseau -- Personalized information retrieval in a semantic-based learning environment / Antonella Carbonaro and Rodolfo Ferrini -- Multi-agent tourism system (MATS) / Soe Yu Maw and Myo-Myo Naing -- Hybrid recommendation systems : a case study on the movies domain / Konstantinos Markellos ... [et al.].
  2. Ellis, D.: Progress and problems in information retrieval (1996) 0.03
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    Date
    26. 7.2002 20:22:46
    Footnote
    Rez. in: Managing information 3(1996) no.10, S.49 (D. Bawden); Program 32(1998) no.2, S.190-192 (C. Revie)
  3. Ingwersen, P.: Information retrieval interaction (1992) 0.01
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    Footnote
    Rez. in: Library and information research news. 16(1993) no.56, S.26-27 (J. Palmer); Journal of documentation 50(1994) no.2, S.142-144 (P. Willett); Australian academic and research libraries 1993, Sept., S.239-240 (C. Wilson)
  4. Anderson, J.D.; Perez-Carballo, J.: Information retrieval design : principles and options for information description, organization, display, and access in information retrieval databases, digital libraries, catalogs, and indexes (2005) 0.01
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    Content
    Inhalt: Chapters 2 to 5: Scopes, Domains, and Display Media (pp. 47-102) Chapters 6 to 8: Documents, Analysis, and Indexing (pp. 103-176) Chapters 9 to 10: Exhaustivity and Specificity (pp. 177-196) Chapters 11 to 13: Displayed/Nondisplayed Indexes, Syntax, and Vocabulary Management (pp. 197-364) Chapters 14 to 16: Surrogation, Locators, and Surrogate Displays (pp. 365-390) Chapters 17 and 18: Arrangement and Size of Displayed Indexes (pp. 391-446) Chapters 19 to 21: Search Interface, Record Format, and Full-Text Display (pp. 447-536) Chapter 22: Implementation and Evaluation (pp. 537-541)
    Footnote
    Rez. in JASIST 57(2006) no.10, S.1412-1413 (R. W. White): "Information Retrieval Design is a textbook that aims to foster the intelligent user-centered design of databases for Information Retrieval (IR). The book outlines a comprehensive set of 20 factors. chosen based on prior research and the authors' experiences. that need to he considered during the design process. The authors provide designers with information on those factors to help optimize decision making. The book does not cover user-needs assessment, implementation of IR databases, or retries al systems, testing. or evaluation. Most textbooks in IR do not offer a substantive walkthrough of the design factors that need to be considered Mien des eloping IR databases. Instead. they focus on issues such as the implementation of data structures, the explanation of search algorithms, and the role of human-machine interaction in the search process. The book touches on all three, but its focus is on designing databases that can be searched effectively. not the tools to search them. This is an important distinction: despite its title. this book does not describe how to build retrieval systems. Professor Anderson utilizes his wealth of experience in cataloging and classification to bring a unique perspective on IR database design that may be useful for novices. for developers seeking to make sense of the design process, and for students as a text to supplement classroom tuition. The foreword and preface. by Jessica Milstead and James Anderson. respectively, are engaging and worthwhile reading. It is astounding that it has taken some 20 years for anyone to continue the stork of Milstead and write as extensively as Anderson does about such an important issue as IR database design. The remainder of the book is divided into two parts: Introduction and Background Issues and Design Decisions. Part 1 is a reasonable introduction and includes a glossary of the terminology that authors use in the book. It is very helpful to have these definitions early on. but the subject descriptors in the right margin are distracting and do not serve their purpose as access points to the text. The terminology is useful to have. as the authors definitions of concepts do not lit exactly with what is traditionally accepted in IR. For example. they use the term 'message' to icier to what would normally be called .'document" or "information object." and do not do a good job at distinguishing between "messages" and "documentary units". Part 2 describes components and attributes of 1R databases to help designers make design choices. The book provides them with information about the potential ramifications of their decisions and advocates a user-oriented approach to making them. Chapters are arranged in a seemingly sensible order based around these factors. and the authors remind us of the importance of integrating them. The authors are skilled at selecting the important factors in the development of seemingly complex entities, such as IR databases: how es er. the integration of these factors. or the interaction between them. is not handled as well as perhaps should be. Factors are presented in the order in which the authors feel then should be addressed. but there is no chapter describing how the factors interact. The authors miss an opportunity at the beginning of Part 2 where they could illustrate using a figure the interactions between the 20 factors they list in a way that is not possible with the linear structure of the book.
  5. Croft, W.B.: Advances in information retrieval : Recent research from the Center for Intelligent Information Retrieval (2000) 0.01
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    Content
    Enthält die Beiträge: CROFT, W.B.: Combining approaches to information retrieval; GREIFF, W.R.: The use of exploratory data analysis in information retrieval research; PONTE, J.M.: Language models for relevance feedback; PAPKA, R. u. J. ALLAN: Topic detection and tracking: event clustering as a basis for first story detection; CALLAN, J.: Distributed information retrieval; XU, J. u. W.B. CROFT: Topic-based language models for ditributed retrieval; LU, Z. u. K.S. McKINLEY: The effect of collection organization and query locality on information retrieval system performance; BALLESTEROS, L.A.: Cross-language retrieval via transitive translation; SANDERSON, M. u. D. LAWRIE: Building, testing, and applying concept hierarchies; RAVELA, S. u. C. LUO: Appearance-based global similarity retrieval of images
  6. Cole, C.: Information need : a theory connecting information search to knowledge formation (2012) 0.01
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  7. Knowledge organization and classification in international information retrieval (2004) 0.01
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    Editor
    Williamson, N.J. u. C. Beghtol
    Footnote
    Rez. in Mitteilungen VÖB 57(2004) H.3/4, S.83-84 (O. Oberhauser): "Der Klappentext zu diesem Buch, das gleichzeitig als Cataloging & Classification Quarterly, Jg. 37, Nr. 1/2, veröffentlicht wurde, weiss mit eindrucksvollen Lobpreisungen bekannter anglo-amerikanischer Professoren aufzuwarten. Das Werk ist ein Sammelband mit 14 Artikeln von Autoren aus sechs Ländern, unter denen Kanada mit sechs Beiträgen klar dominiert (was nicht weiter überraschend ist, da die Herausgeberinnen von dort stammen). Das deklarierte Ziel des Bandes ist die Behandlung von Themen, die im Zusammenhang mit Information und Wissen in einem internationalisierten Kontext von Relevanz sind. Dies wird in vier thematisch gegliederten Abschnitten versucht. Das erste dieser Kapitel, General Bibliographic Systems, enthält vier Aufsätze, deren erster die Rolle allgemeiner und spezialisierter Klassifikationssysteme unter den Auspizien von Interoperabilität und weltweitem Zugriff reflektiert. Die anderen behandeln eine Adaptierung der DDC für die Verwendung bei der Erschliessung feministischer Literatur, die Probleme bei der Übersetzung von Klassifikationen von einer Sprache/Kultur in eine andere sowie den multilingualen Zugriff auf Dokumente in bibliographischen Datenbanken durch mehrsprachige, mit UDK-Zahlen verknüpfte Deskriptoren. Die zweite Sektion (ebenfalls vier Artikel) ist mit Information Organization in Knowledge Resources betitelt. Ihre konkreten Themen sind a) die Schwächen bibliothekarischer sachlicher Suchsysteme im internationalen Web-Kontext, b) die Recherche erziehungswissenschaftlicher Web-Ressourcen mittels "subject trees" bzw. in virtuellen Bibliotheken, c) Techniken für Text- und Data-Mining im Rahmen von Wissensorganisation und -ermittlung sowie d) Ansätze für die Wissensermittlung in nicht-bibliographischen Datenbanken.
  8. Next generation search engines : advanced models for information retrieval (2012) 0.01
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    Content
    Enthält die Beiträge: Das, A., A. Jain: Indexing the World Wide Web: the journey so far. Ke, W.: Decentralized search and the clustering paradox in large scale information networks. Roux, M.: Metadata for search engines: what can be learned from e-Sciences? Fluhr, C.: Crosslingual access to photo databases. Djioua, B., J.-P. Desclés u. M. Alrahabi: Searching and mining with semantic categories. Ghorbel, H., A. Bahri u. R. Bouaziz: Fuzzy ontologies building platform for Semantic Web: FOB platform. Lassalle, E., E. Lassalle: Semantic models in information retrieval. Berry, M.W., R. Esau u. B. Kiefer: The use of text mining techniques in electronic discovery for legal matters. Sleem-Amer, M., I. Bigorgne u. S. Brizard u.a.: Intelligent semantic search engines for opinion and sentiment mining. Hoeber, O.: Human-centred Web search.
    Vert, S.: Extensions of Web browsers useful to knowledge workers. Chen, L.-C.: Next generation search engine for the result clustering technology. Biskri, I., L. Rompré: Using association rules for query reformulation. Habernal, I., M. Konopík u. O. Rohlík: Question answering. Grau, B.: Finding answers to questions, in text collections or Web, in open domain or specialty domains. Berri, J., R. Benlamri: Context-aware mobile search engine. Bouidghaghen, O., L. Tamine: Spatio-temporal based personalization for mobile search. Chaudiron, S., M. Ihadjadene: Studying Web search engines from a user perspective: key concepts and main approaches. Karaman, F.: Artificial intelligence enabled search engines (AIESE) and the implications. Lewandowski, D.: A framework for evaluating the retrieval effectiveness of search engines.
    Editor
    Jouis, C. u.a.
  9. Lancaster, F.W.: Vocabulary control for information retrieval (1986) 0.01
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    Date
    22. 4.2007 10:07:51
  10. New directions in human information behavior (2006) 0.01
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    Editor
    Spink, A. u. C. Cole
    Footnote
    Weitere Rez. in: JASIST 58(2007) no.10, S.1553 (C. Wang)
  11. Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014) 0.00
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    Date
    23. 7.2017 13:49:22

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  • m 11
  • s 5