Comparison of Different Approaches for Mobile Advertising

Bulander, Rebecca; Decker, Michael; Schiefer, Gunther; Kölmel, Bernhard

doi:10.1109/wmcs.2005.8

Cited by 39 publications

(22 citation statements)

References 14 publications

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“…It also allows marketers to analyse their call patterns in order to send target-orientated and personalised advertisements to target consumers' mobile phones (Tsang, Ho & Liang, 2004;Bulander, Decker, Schiefer & Kolmel, 2005;Lee, Lee, Lee, Kim & Lee, 2006;Carroll, Barnes, Scornavacca & Fletcher, 2007). Lee et al (2006) point out that because of the different mobile advertising formats available and the rapid rate at which these are developing, the mobile platform is emerging as an interactive media, which, if implemented correctly, will enable marketers to target specific audience groups and provide instant feedback as to whether or not the message was successful in attracting a consumer.…”

Section: Introductionmentioning

confidence: 99%

African Generation Y Students’ Mobile Advertising Usage

Sharp¹

2014

MJSS

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Section: Introductionmentioning

confidence: 99%

African Generation Y Students’ Mobile Advertising Usage

Sharp¹

2014

MJSS

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“…Therefore, factors of the context specific to the domain of sales [36,37], should be taken into account in the methodology. Such a factor is the introduction of innovative services to increase market share, using context information to seize sales opportunities [38] (e.g.…”

Section: Context Generation and Exploitationmentioning

confidence: 99%

The conceptual model of context for mobile commerce applications

Benou

Vassilakis

2010

Electron Commer Res

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Mobile commerce applications adhering to anytime and anywhere paradigm, required to be flexible. They should be able to adapt their interface, services and content towards a certain context. Several proposals for definition of context have been already proposed originating from various areas related to mobile commerce. However, an integrated, formal and methodological approach for the determination and representation of context, adjusted to special characteristics of mobile commerce applications, has not been insofar presented. This is the challenge we address in this paper, through a conceptual model that includes: i) a clear and formal definition of context, ii) the depiction of its specific characteristics as metadata, iii) a methodology for its determination and iv) the presentation of an extension of class diagrams of UML for its representation, all of them tailored to the special nature of mobile commerce applications.

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“…In fact, the mobile communication network operators and the manufacturers of mobile phones are pushing (advertising) new technologies, products and services to the customers [Bulander et al, 2005, Vatanparast, 2007. This push is particularly effective on the youth; they represent a key target market for this industry.…”

Section: Mobile Servicesmentioning

confidence: 99%

“…But, if the robot and display method are combined together effectively, they will create an effective consumer-friendly environment that helps the user to make better decisions. [Bulander et al, 2005] presents the MoMa-system, where end users can create orders according to a given catalogue. This catalogue is a hierarchically ordered set of possible product and service offers that are described by appropriate attributes.…”

Section: Proactive Recommendationsmentioning

confidence: 99%

Introduction to recommender systems

2004

ACM Trans. Inf. Syst.

104

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Mobile phones are becoming a primary platform for information access and when coupled with recommender systems technologies they can become key tools for mobile users both for leisure and business applications. Recommendation techniques can increase the usability of mobile systems providing personalized and more focussed content, hence limiting the negative effects of information overload. In this paper we review the major issues and opportunities that the mobile scenario opens to the application of recommender systems especially in the area of travel and tourism. We overview major techniques that have been proposed in the last years and we illustrate the supported functions. We also illustrate specific computational models that have been proposed for mobile recommender systems and we close the paper by presenting some possible future developments and extension in this area.

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Comparison of Different Approaches for Mobile Advertising

Cited by 39 publications

References 14 publications

African Generation Y Students’ Mobile Advertising Usage

African Generation Y Students’ Mobile Advertising Usage

The conceptual model of context for mobile commerce applications

Introduction to recommender systems

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