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IMPROVING CONTENT MARKETING PROCESSES WITH THE APPROACHES BY ARTIFICIAL INTELLIGENCE

Kose, Utku; Sert, Selcuk - 2017

Content marketing is today’s one of the most remarkable approaches in the context of marketing processes of companies. Value of this kind of marketing has improved in time, thanks to the latest developments regarding to computer and communication technologies. Nowadays, especially social media...

Persistent link: https://www.econbiz.de/10011617963

Essays on innovation and communication

Kay Peters - 2008

The dissertation has been written within the post graduate program of the German Research Foundation (DFG) on “Business Aspects of Loosely Coupled Systems and Electronic Business”. This program focuses on research related to the diffusion of innovations in the digital age. Accordingly, the...

Persistent link: https://www.econbiz.de/10009428989

Symbolic visuals in advertising: The role of relevance.

Holmes, Gary R. - 2008

(TOR). TOR can help researchers and marketing managers by explaining how consumers may interpret visuals in advertising …. TOR explains why some visuals thought to be unconnected with the product become relevant in advertising. This study makes … is used to provide greater explanatory power of consumers' interpretation and response to advertising visuals than what …

Persistent link: https://www.econbiz.de/10009475018

Stereotypes in Retail Print Advertising: The Effects of Gender and Physical Appearance on Consumer Perceptions

Allen, Charlotte - 2001

The retail sector spends millions of dollars each year advertising to consumers. This is a considerable investment for …

Persistent link: https://www.econbiz.de/10009475041

Data Mining mit der Support Vektor Maschine

Lessmann, Stefan - 2007

Die kumulative Dissertation beschreibt in 14 Fachartikeln die sogenannte Support Vektor Maschine als eine aktuell diskutierte Methodik zur Lösung betriebswirtschaftlicher Klassifikationsprobleme. Die Klassifikation wird dabei als eine Aufgabenstellung des Data Minings verstanden, welches die...

Persistent link: https://www.econbiz.de/10009449649

Matter and symbols of the artificial

Rocha, L.M. - 2009

The study of complex systems should be based on a systems-theoretic framework which requires both self-organizing and symbolic dimensions. An inclusive framework based on the notion of semiotics is advanced to build models capable of representing, as well as evolving in their environments, with...

Persistent link: https://www.econbiz.de/10009436399

Bootstrap planning: Theory and application

Chen, P.C. - 2008

We identify a general framework for weak planning called bootstrap planning, which is defined as global planning using only a local planner along with some memory for learning intermediate subgoals. We present a family of algorithms for bootstrap planning, and provide some initial theory on...

Persistent link: https://www.econbiz.de/10009436460

Development of an optimal spatial decision-making system using approximate reasoning

Bailey, David Thomas - 2005

There is a recognised need for the continued improvement of both the techniques and technology for spatial decision support in infrastructure site selection. Many authors have noted that current methodologies are inadequate for real-world site selection decisions carried out by heterogeneous...

Persistent link: https://www.econbiz.de/10009437987

Loss-sensitive decision rules for intrusion detection and response

Wang, Jia - 2004

When large numbers of alerts are reported by intrusion detection (ID) systems in very fine granularity, it prevents system administrators from handling the alerts effectively. This in turn degrades the usability of an intrusion detection system. Aside from detection, timely responses of...

Persistent link: https://www.econbiz.de/10009438759

Learning from collective preferences, behavior, and beliefs

Vaughan, Jennifer Wortman - 2009

Machine learning has become one of the most active and exciting areas of computer science research, in large part because of its wide-spread applicability to problems as diverse as natural language processing, speech recognition, spam detection, search, computer vision, gene discovery, medical...

Persistent link: https://www.econbiz.de/10009439011

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