Mobile TV Targeted Advertisement and Content Personalization

Uribe, Silvia; Fernández-Cedrón, Iago; Álvarez, Federico; Menéndez, José Manuel; Nunez, Jose Luis

doi:10.1109/iwssip.2009.5367737

Cited by 4 publications

(4 citation statements)

References 5 publications

(3 reference statements)

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“…The content server is in charge of doing the assignment and management of the personal content, according to UP based on their preferences and their consumption data, which can be obtained via return channel. It also indicates when the change between common and personalized content has to be made by sending to the client part the time left for it [1]. 2.…”

Section: Basic Dimensions Of Personalizationmentioning

confidence: 99%

“…Personal content is sent over mobile network, since it has to get to each user separately. So, in short, this "unicast path" via mobile network is used for personal content supply as well as a back channel interactivity which cannot be provided by the broadcast path [1]. 3.…”

Section: Basic Dimensions Of Personalizationmentioning

confidence: 99%

“…3. Finally, user part can be found out, consisting of the user"s devices that can both execute the application and send back the needed user data that help configuring their user profile [1].…”

Section: Basic Dimensions Of Personalizationmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of different Approaches of Targeted Advertisement

Shingade¹,

Atole²,

Galphat³

et al. 2015

IJCA

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Many businesses have advertisement as their primary source of revenue. Print and Audio Visual media are on forefront in this area. In today"s technology obsessed world, advertisement also forms a major source of revenue for service providers, app developers who work on mobile platforms. Advertisement on mobile platforms differs a lot from traditional advertisement. The information available with mobile devices can be exploited to target the advertisements towards specific audience. This paper discusses various approaches for targeted advertisements. It also discusses an approach to optimize allocation of advertisements to target audience.

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Section: Basic Dimensions Of Personalizationmentioning

confidence: 99%

Section: Basic Dimensions Of Personalizationmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of different Approaches of Targeted Advertisement

Shingade¹,

Atole²,

Galphat³

et al. 2015

IJCA

View full text Add to dashboard Cite

show abstract

“…Despite it shared unique characteristics with mobile devices in terms of mobility allow users to access a wide range of desired information based on personal need or context. Relatively some improvements have focused on mobile internet content, an area of increasing importance, in specific applications such as [21]. However, there are some problems related to information overload and specific group of users' behaviour for contents.…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis for Personalised Mobile Entertainment Content

Paireekreng

Wong

Fung

2010

IFIP Advances in Information and Communication Technology

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Abstract. There is much attention given to emerging technologies like mobile internet because of its increasing popularity. Much research has concentrated on hardware and some have focused on personalisation in terms of content visualisation. The focus of this paper is on mobile content personalisation, seeking to understand the user groups through clustering users on profile. This paper focuses on the implementation of a technique known as 'ZoningCentroid', which is the evaluation technique used to determine the appropriate number of clusters that best cluster the given users profile. The user profile used in this paper includes mobile content usage based on basic demographic factors. The algorithm used to cluster in this paper is k-means clustering. The results show that the proposed technique could suggest the appropriate number of clusters to be used with the k-values for implementing in the area of mobile entertainment content personalisation.

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