Popularity Of Mobile Internet Research Articles

MGAD: Mutual Information and Graph Embedding Based Anomaly Detection in Multivariate Time Series

MGAD: Mutual Information and Graph Embedding Based Anomaly Detection in Multivariate Time Series

Digital Marketing Logic, Mechanism, Strategy and Evaluation

Digital marketing is a marketing method based on digital technology and internet platforms. In recent years, with the popularity of mobile Internet and the development of social media, digital marketing has attracted more and more attention from enterprises and organizations and has become one of the important means to promote consumer purchases, enhance brand recognition and increase sales. This paper systematically expounds the underlying logic, mechanism, and strategy of digital marketing, reveals the important role of digital marketing in enterprise marketing, and provides theoretical and methodological support for digital marketing-related research. In addition, the paper proposes the selection and use of performance measurement tools and methods, and how digital marketing can optimize and enhance performance. At the same time, given the future development trend and problems of digital marketing, this paper puts forward some measures and suggestions, which provide a valuable reference for the practice of digital marketing in enterprises.

Research on the Operation Strategy of Dongman App, An Excellent Chinese Online Comics Platform in the Era of Mobile Reading

With the popularity of mobile internet and smartphones, the era of mobile reading has arrived. Webcomics, as a popular form of entertainment, have gained the favor of a large number of users. This paper takes the excellent Chinese webcomics platform Dongman APP as the research object, and discusses its operation strategy by comparing it with other platforms such as Kuai Kan APP, Tencent Animation APP, and Korean webtoon. Through research on the operation strategy of Dongman APP and from the perspective of innovative industries, this study provides concrete case comparisons and practical suggestions for the development of other online comic platforms.

The Influence of Virtual Goods Purchase on Teenagers' Online Consumption——Genshin Impact Marketing Strategy as a Case

Mihoyo's open world mobile game Genshin Impact, launched in September 2020, set the record for the highest grossing mobile game worldwide for the month with $245 million, and was the highest grossing mobile game in China for six consecutive months. Behind this impressive performance, there have also been negative voices about inducing overspending in games. For a game aimed at teenagers, it sets very high purchase prices for virtual goods and lotteries and lacks guidance and efforts to protect teenagers. Teenagers are one of the biggest consumers of online games. With the rapid development and popularity of mobile Internet and smart devices in China, it is more convenient for Chinese teenagers to access online games, and the era of touch games shows a younger trend. This paper uses two practical cases to focus on the impact of the highly developed mobile game consumer market on consumers and enterprises. It analyzes and discusses from two perspectives, involving the analysis of marketing concepts, schemes, consumer psychology and other elements. In the end, it deduces the social and moral issues that enterprises need to pay attention to in their own operations and improves a cleaner consumer market together with consumer groups.

Attention-Guided Neural Networks for Full-Reference and No-Reference Audio-Visual Quality Assessment.

With the popularity of mobile Internet, audio and video (A/V) have become the main way for people to entertain and socialize daily. However, in order to reduce the cost of media storage and transmission, A/V signals will be compressed by service providers before they are transmitted to end-users, which inevitably causes distortions in the A/V signals and degrades the end-user's Quality of Experience (QoE). This motivates us to research the objective audio-visual quality assessment (AVQA). In the field of AVQA, most previous works only focus on single-mode audio or visual signals, which ignores that the perceptual quality of users depends on both audio and video signals. Therefore, we propose an objective AVQA architecture for multi-mode signals based on attentional neural networks. Specifically, we first utilize an attention prediction model to extract the salient regions of video frames. Then, a pre-trained convolutional neural network is used to extract short-time features of the salient regions and the corresponding audio signals. Next, the short-time features are fed into Gated Recurrent Unit (GRU) networks to model the temporal relationship between adjacent frames. Finally, the fully connected layers are utilized to fuse the temporal related features of A/V signals modeled by the GRU network into the final quality score. The proposed architecture is flexible and can be applied to both full-reference and no-reference AVQA. Experimental results on the LIVE-SJTU Database and UnB-AVC Database demonstrate that our model outperforms the state-of-the-art AVQA methods. The code of the proposed method will be publicly available to promote the development of the field of AVQA.

LGAN-DP: A novel differential private publication mechanism of trajectory data

With the popularity of mobile Internet, big data of trajectory not only provides convenience for people, but also brings privacy leakage. In order to overcome the problems in the current works such as insufficient accuracy, insufficient efficiency and insufficient protection of trajectory data privacy in trajectory data publishing methods, a trajectory data differential privacy publishing mechanism (LGAN-DP) based on LSTM-GAN is proposed in this paper, which uses a long short-term memory network and a generative adversarial network to generate synthetic trajectories. We design a trajectory loss function to judge the trajectory similarity loss of the synthetic trajectories trained by the trajectory data deep learning model proposed in this paper. LGAN-DP processes the result set of trajectory data publishing by using differential privacy. The experimental results show that LGAN-DP can better guarantee the balance between the privacy and availability of trajectory data on the MI. The availability of trajectory data is improved by 40%∼50% as compared with the existing methods, with less time complexity.

The easier you get it, the less you cherish it? Research on the influence of coupon issuing methods on consumers from the perspective of psychological ownership

ABSTRACT Based on the perspective of psychological ownership, this research explores how to issue coupons makes consumers value and use the coupons through four studies. Study 1 and study 2 show that participatory promotions lead to higher psychological ownership, expected regret and consumer willingness to use coupons than general promotions. Study 3 shows that, among participatory promotions, non-anonymous (vs. anonymous) participatory promotions are associated with more willingness to use coupons due to the mediation path effect of psychological ownership. Meanwhile, studies 1–3 show that, when coupons are scarce, the method of issuing coupons based on consumers’ willingness to use them has no effect. This may be because the scarcity of the coupons increases their value, and thus the intention to use them is unaffected by the method of issuance. Finally, we conduct study 4 to measure real behaviors to provide ecological validity. The results show that the actual number of coupons used decreases from high to low in the order of non-anonymous participatory promotions, anonymous participatory promotions and general promotions, which is consistent with our conclusions of studies 1-3. Our conclusions provide theoretical and managerial implications in the context of the increasing popularity of mobile internet and intelligent terminals.

Research on Resource Allocation and Management of Mobile Edge Computing Network

The popularity of mobile Internet makes the application of mobile terminals need more computing resources, and cloud computing enables mobile terminals to handle application tasks that need high computing resources under the premise of maintaining small specifications. However, it is difficult to obtain high-quality low latency services as the mobile Internet edge is far away from the cloud computing center ; hence mobile edge computing (MEC) is proposed. This study introduce d computing resource allocation methods based on power iteration and system utility, applie d them to the mobile edge computing network , and carried out simulation experiments in MATLAB software. The experimental results show ed that the network throughput and system utility under the two resource allocation methods increased and the average transfer rate decreased with the increase of users in the mobile edge network ; under the same number of access users, the edge network based on the system utility allocation method ha d higher throughput, average trans fer rate and system utility.

Social Media-Based Health Management Systems and Sustained Health Engagement: TPB Perspective.

Background: With the popularity of mobile Internet and social networks, an increasing number of social media-based health management systems (SocialHMS) have emerged in recent years. These social media-based systems have been widely used in registration, payment, decision-making, chronic diseases management, health information and medical expenses inquiry, etc., and they greatly facilitate the convenience for people to obtain health services. Objective: This study aimed to investigate the factors influencing sustained health engagement of SocialHMS by combining the theory of planned behavior (TPB) with the big-five theory and the trust theory. Method: We completed an empirical analysis based on the 494 pieces of data collected from Anhui Medical University first affiliated hospital (AMU) in East China through structural equation modeling and SmartPLS (statistical analysis software). Results: Openness to new experience has a significantly positive influence on attitude (path coefficient = 0.671, t = 24.0571, R2 = 0.451), perceived behavioral control (path coefficient = 0.752, t = 32.2893, R2 = 0.565), and perceived risk (path coefficient = 0.651, t = 18.5940, R2 = 0.424), respectively. Attitude, perceived behavioral control, subjective norms, and trust have a significantly positive influence on sustained health engagement (path coefficients = 0.206, 0.305, 0.197, 0.183 respectively, t = 3.6684, 4.9158, 4.3414, and 3.3715, respectively). The explained variance of the above factors to the sustained health engagement of SocialHMS is 60.7% (R2 = 0.607). Perceived risk has a significantly negative influence on trust (path coefficient = 0.825, t = 46.9598, R2 = 0.681). Conclusions: Attitude, perceived behavioral control, subjective norm, and trust are the determinants that affect sustained health engagement. The users’ personality trait of openness to new experience and perceived risk were also found to be important factors for sustained health engagement. For hospital managers, there is the possibility to take appropriate measures based on users’ personality to further enhance the implementation and utilization of SocialHMS. As for system suppliers, they can provide the optimal design for SocialHMS so as to meet users’ needs.

NAN: Near-me Area Network

Due to the increasing popularity of mobile Internet and location-enabled mobile devices in recent years, a new type of communication network is emerging, and we call it Near-me Area Network (NAN). It focuses on the communication among the wireless devices in close proximity, creating a new kind of application domain. In this article, we will introduce NAN, review the existing applications, and most importantly point out the challenges for the NAN applications.