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Home > Business and Economics > Business and Management > Sales and marketing > Market research > Preference-Based-Recommender-Systeme: Individuelle neuronale Präferenzmodellierung am Beispiel von Investmentfonds(Forschungsgruppe Konsum und Verhalten)
Preference-Based-Recommender-Systeme: Individuelle neuronale Präferenzmodellierung am Beispiel von Investmentfonds(Forschungsgruppe Konsum und Verhalten)

Preference-Based-Recommender-Systeme: Individuelle neuronale Präferenzmodellierung am Beispiel von Investmentfonds(Forschungsgruppe Konsum und Verhalten)


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About the Book

Tobias Schneider stellt einen neuen Typus von Recommender-Systemen vor, der auf der Modellierung von Praferenzen in experimentellen Designs beruht und bei dem neuronale Netze als neue, flexible Methode der Praferenzmodellierung fungieren. In einer Beispielapplikation untersucht er die Eignung seines Ansatzes als Empfehlungssystem fur Investmentfonds, wobei die Rendite-Risiko-Trade-Offs von Kapitalanlegern im Vordergrund stehen.

Table of Contents:
1 Einleitung.- 2 Einordnung als Recommender System.- 2.1 Hintergrund der Entwicklung von Recommender Systemen.- 2.2 Nutzen von Recommender Systemen.- 2.3 Typen von Recommender Systemen.- 3 Methodische Grundlagen eines PBRS.- 3.1 Fundierung in der experimentellen Wirtschaftsforschung.- 3.2 Kompositionelle und dekompositionelle Ansätze.- 3.3 Bestimmung relevanter Eigenschaften.- 3.4 Entscheidungsmodelle und PBRS.- 3.5 Zweistufiger Präferenzbildungsprozeß.- 3.6 Experimentelles Design.- 3.7 Präferenzmessung und Skalierung.- 3.8 Gütekriterien bei der Berechnung von Präferenzfunktionen.- 3.9 Präferenzmodellierung mittels Conjoint Analyse.- 3.10 Präferenzmodellierung mit Neuronalen Netzen.- 3.11 Validitätsvergleich mit Artificial Data.- 4 Grundlagen eines PBRS für Investmentfonds.- 4.1 Rahmenbedingungen für eine Online-Anlageberatung.- 4.2 Anlageberatung — Ausgangspunkte und Qualitätsdefizite.- 4.3 Portfolio-Theorie als Leitlinie der Anlageberatung.- 4.4 Operationalisierungen von Rendite und Risiko.- 5 cliXXon — ein PBRS für Investmentfonds.- 5.1 Technische und organisatorische Grundlagen von cliXXon.- 5.2 Empfehlungsprozeß bei cliXXon.- 5.3 Ergebnisse der Analyse.- 5.4 Implikationen.- 6 Zusammenfassung und Ausblick.

About the Author :
Dr. Tobias Schneider promovierte bei Prof. Dr. Klaus Peter Kaas am Lehrstuhl für Marketing I der Universität Frankfurt am Main.


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Product Details
  • ISBN-13: 9783824483358
  • Publisher: Deutscher Universitats-Verlag
  • Publisher Imprint: Deutscher Universitats-Verlag
  • Height: 210 mm
  • No of Pages: 285
  • Series Title: Forschungsgruppe Konsum und Verhalten
  • Width: 148 mm
  • ISBN-10: 3824483351
  • Publisher Date: 25 Nov 2005
  • Binding: Paperback
  • Language: German
  • Returnable: Y
  • Sub Title: Individuelle neuronale Präferenzmodellierung am Beispiel von Investmentfonds


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Preference-Based-Recommender-Systeme: Individuelle neuronale Präferenzmodellierung am Beispiel von Investmentfonds(Forschungsgruppe Konsum und Verhalten)
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