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Representation III: Weighting (Gewichtung) 1

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Bridge <Kommunikationstechnik>
Gesetz <Physik>
Digital Object Identifier
Gruppe <Mathematik>
Information Retrieval
Regulator <Mathematik>
Metropolitan area network
App <Programm>
Suite <Programmpaket>
Güte der Anpassung
Natürliche Sprache
Dichte <Physik>
Zipfsches Gesetz
Dienst <Informatik>
Rechter Winkel
Ordnung <Mathematik>
Lesen <Datenverarbeitung>
Tabelle <Informatik>
Stabilitätstheorie <Logik>
Wort <Informatik>
Klasse <Mathematik>
Content <Internet>
Abgeschlossene Menge
Demoszene <Programmierung>
Virtuelle Maschine
Weg <Topologie>
Gewicht <Mathematik>
Arithmetische Folge
Reelle Zahl
Endogene Variable
Binder <Informatik>
Offene Menge
Leistung <Physik>
Faktor <Algebra>
Wort <Informatik>
Harmonische Analyse
Information Retrieval
Prozess <Physik>
Natürliche Zahl
Kartesische Koordinaten
Regulärer Graph
Prozess <Informatik>
Ausdruck <Logik>
Mixed Reality
Stützpunkt <Mathematik>
Parallele Schnittstelle
Figurierte Zahl
Lineares Funktional
Nichtlinearer Operator
Prozess <Informatik>
Physikalischer Effekt
Ideal <Mathematik>
Arithmetisches Mittel
Funktion <Mathematik>
Ganze Zahl
Extreme programming
Lineare Abbildung
Web Site
Gewicht <Mathematik>
Bildgebendes Verfahren
Leistung <Physik>
Matching <Graphentheorie>
Physikalisches System
System F
Binäre Relation


Formale Metadaten

Titel Representation III: Weighting (Gewichtung) 1
Serientitel Information Retrieval
Teil 4
Anzahl der Teile 12
Autor Mandl, Thomas
Lizenz CC-Namensnennung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/16260
Herausgeber Stiftung Universität Hildesheim
Erscheinungsjahr 2015
Sprache Englisch

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract This lecture gives an overview on Information Retrieval. It explains why documents are ranked the way they are. The lecture explains the most relevant ways for content representation: Automatic indexing and manual indexing. For automatic indexing, the frequencey of word is of special relevance and their influence on the weighting of term are discussed. The most relevant models are introduced. The session on evaluation discusses new metrics like the Normalized Discounted Cumulative Gain. The session of information behavior provides a brief overview and explains the relation to IR. The session on optimization mainly introduces term expansion and fusion methods. The session on Web retrieval is concerned with the quality aspects and gives a basic insight to the PageRank algorithm.
Schlagwörter Information Retrieval
Search Engine Technology
Information Behavior
Automatic Indexing
Academic Lecture
Retrieval models
Web Retrieval
Evaluation of Retrieval Systems

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