Literatur zur Informationserschließung

Diese Datenbank enthält über 40.000 Dokumente zu Themen aus den Bereichen Formalerschließung – Inhaltserschließung – Information Retrieval.

© 2015 W. Gödert, TH Köln, Institut für Informationswissenschaft / Powered by litecat, BIS Oldenburg (Stand: 28. April 2022)

Suchergebnisse

• 1
  Lavrenko, V.: ¬A generative theory of relevance.
  Berlin : Springer, 2009. XX, 197 S.
  ISBN 978-3-540-89363-9
  (The information retrieval series ; 26)
  
  Abstract: A modern information retrieval system must have the capability to find, organize and present very different manifestations of information - such as text, pictures, videos or database records - any of which may be of relevance to the user. However, the concept of relevance, while seemingly intuitive, is actually hard to define, and it's even harder to model in a formal way. Lavrenko does not attempt to bring forth a new definition of relevance, nor provide arguments as to why any particular definition might be theoretically superior or more complete. Instead, he takes a widely accepted, albeit somewhat conservative definition, makes several assumptions, and from them develops a new probabilistic model that explicitly captures that notion of relevance. With this book, he makes two major contributions to the field of information retrieval: first, a new way to look at topical relevance, complementing the two dominant models, i.e., the classical probabilistic model and the language modeling approach, and which explicitly combines documents, queries, and relevance in a single formalism; second, a new method for modeling exchangeable sequences of discrete random variables which does not make any structural assumptions about the data and which can also handle rare events. Thus his book is of major interest to researchers and graduate students in information retrieval who specialize in relevance modeling, ranking algorithms, and language modeling.
  
  Inhalt: Vgl. auch: http://dx.doi.org/10.1007/978-3-540-89364-6
  
  Anmerkung: Rez. in: JASIST 60(2009) no.12, S.2587-2588 (R. Luk)
  
  Themenfeld: Retrievalalgorithmen
  
  RSWK: Relevanz-Feedback / Information Retrieval
  BK: 06.74 / Informationssysteme ; 54.64 / Datenbanken
  DDC: 025.04 / DDC22ger
  
• 2
  Rath, T.M. ; Manmatha, R. ; Lavrenko, V.: ¬A search engine for historical manuscript images.
  In: SIGIR'04: Proceedings of the 27th Annual International ACM-SIGIR Conference an Research and Development in Information Retrieval. Ed.: K. Järvelin, u.a. New York, NY : ACM Press, 2004. S.369-376.
  
  Wissenschaftsfach: Geschichtswissenschaft