Consumer' risk attitude based personalisation for content delivery

Molnar, Andreea; Muntean, Cristina Hava

doi:10.1109/ccnc.2012.6181099

Cited by 10 publications

(18 citation statements)

References 11 publications

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“…Different studies have shown that the overall user experience may be affected by a wide range of factors. For example, at the network operator side, different pricing models for various classes of service could be considered by predicting the economic behavior of the users [13] and by taking into account users' attitude towards risk [14] while performing service delivery. Additionally, utility functions could be integrated to map the received bandwidth on user satisfaction for multimedia streaming applications [15][16][17].…”

Section: Discussionmentioning

confidence: 99%

Reputation-based network selection solution for improved video delivery quality in heterogeneous wireless network environments

Trestian

Muntean

2013

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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Abstract-The continuous innovations and advances in both high-end mobile devices and wireless communication technologies have increased the users demand and expectations for anywhere, anytime, any device high quality multimedia applications provisioning. Moreover, the heterogeneity of the wireless network environment offers the possibility to the mobile user to select between several available radio access network technologies. However, selecting the network that enables the best user perceived video quality is not trivial given that in general the network characteristics vary widely not only in time but also depending on the user location within each network. In this context, this paper proposes a user location-aware reputation-based network selection solution which aims at improving the video delivery in a heterogeneous wireless network environment by selecting the best value network. Network performance is regularly monitored and evaluated by the currently connected users in different areas of each individual network. Based on the existing network performance-related information and mobile user location and speed, the network that offers the best support for video delivery along the user's path is selected as the target network and the handover is triggered. The simulation results show that the proposed solution improves the video delivery quality in comparison with the case when a classic network selection mechanism was employed.Keywords-Heterogeneous wireless networks, media independent handover (MIH), network selection, quality-ofservice (QoS)adaptive video delivery, user mobility.

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Section: Discussionmentioning

confidence: 99%

Reputation-based network selection solution for improved video delivery quality in heterogeneous wireless network environments

Trestian

Muntean

2013

2013 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)

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“…DeliverY The proposed adaptive multimedia mechanism takes into account the user willingness to pay for the delivery of multimedia on a mobile device [16]. The aim of the mechanism is to deliver a lower quality multimedia content to the people who cannot afford or are not willing to pay high cost for the multimedia delivery while for those who are willing to pay, a high quality is provided.…”

Section: Comedy: Cost Oriented Adaptive Multimediamentioning

confidence: 99%

“…However, some participants were willing to pay for the quality even when the price is quite high. [16] shows that the difference in the attitude of people when choosing a certain multimedia quality over the price to be paid can be explained by people's attitude toward risk. A method that classifies people either in willing to pay for the multimedia quality (risk averse) or not (risk seekers) based on their age, gender and attitude toward risk was also proposed [16].…”

Section: Introductionmentioning

confidence: 98%

“…Multimedia is understood in the context of this paper as video in combination with audio and possibly text. A user classification method, presented in [16], is used to design the user centric cost oriented multimedia delivery mechanism that provides a slightly reduced multimedia quality for the people who are not willing to pay high cost for the multimedia content.…”

Section: Introductionmentioning

confidence: 99%

“…Among the studies that have focused on how mobile data billing plans affect Internet usage one can count [8], [12]- [16]. [8], [12]- [14] that addressed the effects that different billing plans have on the mobile user's behavior.…”

Section: Introductionmentioning

confidence: 99%

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Cost-Oriented Adaptive Multimedia Delivery

Molnar

Muntean

2013

IEEE Trans. on Broadcast.

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Mobile Internet and mobile services that make use of mobile data are increasingly popular. However, the cost of content delivery, in particular, multimedia type content over cellular networks is still high and poses a challenge for some users who are not necessarily willing or cannot afford to pay too much for it. The problem is further exacerbated when video content is used, as this type of content is heavier and can lead to higher bills. In this context, this paper presents a novel cost-oriented adaptive multimedia delivery (COMEDY) mechanism that considers the user's willingness to pay for a certain video quality and user's mobile device characteristics to deliver adaptive multimedia content over wireless connection. The goal of the mechanism is to reduce the cost of multimedia delivery for users that are not willing to pay that much. The mechanism is evaluated both through objective and subjective studies. The evaluation shows that the proposed mechanism provides a reduction in the price paid for accessing multimedia content, and the user's perceived quality is not negatively affected.Index Terms-Adaptive multimedia, cost of multimedia delivery, mobile data billing plans, mobile devices.

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User-centric QoE model of visual perception for mobile videos

Xin

2018

Vis Comput

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Consumer' risk attitude based personalisation for content delivery

Cited by 10 publications

References 11 publications

Reputation-based network selection solution for improved video delivery quality in heterogeneous wireless network environments

Reputation-based network selection solution for improved video delivery quality in heterogeneous wireless network environments

Cost-Oriented Adaptive Multimedia Delivery

User-centric QoE model of visual perception for mobile videos

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