Positive and unlabeled learning for user behavior analysis based on mobile internet traffic data

With the rapid development of wireless communication and mobile Internet, mobile phone becomes ubiquitous and functions as a versatile and smart system, on which people frequently interact with various mobile applications (Apps). Understanding human behaviors using mobile phone is significant for mobile system developers, for human-centered system optimization and better service provisioning. In this paper, we focus on mobile user behavior analysis and prediction based on mobile Internet traffic data. Real traffic flow data is collected from the public network of Internet Service Providers (ISPs), by high-performance network traffic monitors.We construct User-App bipartite network to represent the traffic interaction pattern between users and App servers. After mining the explicit and implicit features from User-App bipartite network, we propose two positive and unlabeled learning (PU learning) methods, including Spy-based PU learning and K-means-based PU learning, for App usage prediction and mobile video traffic identification. We firstly use the traffic flow data of QQ, a very famous messaging and social media application possessing high market share in China, as the experimental dataset for App usage prediction task. Then we use the traffic flow data from six popular Apps, including video intensive Apps (Youku, Baofeng, LeTV, Tudou) and other Apps (Meituan, Apple), as the experimental dataset for mobile video traffic identification task. Experimental results show that our proposed PU learning methods perform well in both tasks

Cross Usage of Mobile Network Services

India is one of the fastest growing & largest telecom marketplaces in the world with a huge mobile subscriber's base over in millions. It is witnessing an Era wherein consumers select their network operator on the basis of mobile value added services they offer. With the cut throat competition in telecom and internet service operators, experts argue that brand and customer satisfaction are critical elements for success. However, without understanding what value consumers place on what is being offered, it’s difficult for operators to effectively build and modify their strategies for the future. While a fair amount of research has been done on brands and customer satisfaction, little meaningful research exists on core consumer value and consumers preferring cross usage of mobile network services(e.g., individuals using mobile and internet services of different network operators) Overall, the empirical findings from exploratory factor analysis support to the claim that perceived value for money, task definitions, perceived value for time, quality of service, price conscious motive, customer service, access to information,lifestyle,household income,education,age, are the significant predictors for patronage loyalty with respect to mobile and internet network services. Also, the results indicate that broad cast media is the most preferred information source used by respondents in adopting operator services. Operators need to adopt the new paradigm in promotion mix in particular digital media Keywords: consumer behaviour, cross- usage, mobile network, internet network, cherry picking, switching behavior, values, exploratory factor analysis

Multifaceted companion devices: applying the new model of media attendance to smartphone usage

This study inspects the relationship between outcome expectations, habit strength, and smartphone usage by attempting to validate the new model of media attendance (NMMA) (LaRose and Eastin, 2004) , a social-cognitive theory of uses and gratifications. The fast adoption rate of smartphones, and their inherent characteristics as convergent, always-on, always-connected devices, warrant a closer look into user habitualization of this medium. Using a sample of 481 smartphone users selected from a larger panel, we were able to support the NMMA, although surprisingly no significant effect of habit strength on smartphone usage was found. While some uncertainties connected to the method are noted, this suggests a more complex reality, in which habitualization of a convergent media device does not necessarily implicate a significant rise in usage

The role of an omnipresent pocket device : smartphone attendance and the role of user habits

Smartphones are convergent, always-on pocket devices that have taken up an important role in the life of their users. This warrants a closer look into how this medium is used in every-day situations. Are goal-oriented incentives the main drive for smartphone usage, or do habits play a critical role? This study with 481 Belgian smartphone users attempts to describe the precedents of smartphone attendance by validating the model of media attendance (MMA), a social-cognitive theory of uses and gratifications (LaRose & Eastin, 2004). We surprisingly did not find evidence for a significant effect of habits on smartphone usage. We suggest two explanations. First, we suggest some uncertainties concerning the MMA methodology. Second, we suggest a more complex reality in which several habitual use patterns are shaped, dependent on user, context and device. This warrants a more in-depth study, using more advanced measures for smartphone usage and habit strength

When outcome expectations become habitual: explaining vs. predicting new media technology use from a social cognitive perspective

This study examined the triadic relationship between expected outcomes, habit strength, and media technology use within the model of media attendance (Larose & Eastin, 2004). Mobile phone users (N = 664) were divided into two groups using a stratified random sampling method. Respondents of group one (n = 334) were surveyed on existing mobile phone use, respondents of group two (n = 310) were surveyed on the intention to use mobile video phone. On the basis of structural equation analysis, the results of this study support the assumption that within the model of media attendance existing media use is more likely to be explained by habit strength, and new media use is more likely to be predicted by outcome expectations

Investigating the adoption and use of smartphones in the UK : a silver-surfers perspective

Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holdersSmart phones are innovations that currently provide immense benefits and convenience to users in society. However, not all members of society are accepting and using smart phones; more specifically, for this research study silver-surfers or older adults (50+) are a demographic group displaying such an attitude. Currently, there is minimal knowledge of the reasons for older adults adopting and using smartphones. Bearing this in mind, this research study aims to investigate the adoption and usage behaviours of silver-surfers. For this purpose, the conceptual framework applied to this research draws factors from the following theories: Unified Theory of Acceptance and Use of Technology (UTAUT), the Diffusion of Innovations theory (DoI), and TAM3 (Technology Acceptance Model). From the online survey of 204 completed replies it was found that observability, compatibility, social influence, facilitating conditions, effort expectancy and enjoyment are important to the adoption and use of smartphones within silver-surfers. The contributions of this research are an identification and understanding of the factors that encourage or inhibit smartphone use within the older adult population. Second, this research can inform the design of computing devices and applications used for silver-surfers. Finally, this research can enlighten policy makers when forming decisions that encourage adoption and use of smartphones among silver surfersFinal Published versio

Smartphones Adoption and Usage of 50+ Adults in the United Kingdom

This is an Accepted Manuscript of a book chapter published by Routledge in Jyoti Choudrie, Sherah Kurnia, and Panayiota Tsatsou, eds., Social Inclusion and Usability of ICT-enabled Services, on October 2017, available online at: https://www.routledge.com/Social-Inclusion-and-Usability-of-ICT-enabled-Services/Choudrie-Kurnia-Tsatsou/p/book/9781138935556. Under embargo until 30 April 2019.Peer reviewedFinal Accepted Versio

Mobile travel services: A three-country study into the impact of local circumstances

In this paper we explore the difference in acceptance patterns of mobile services that are related to travelling in three countries: Finland, The Netherlands and New Zealand. The objective of this paper is to understand differences in the use of Mobile Travel Services in three countries that differ with regard to national travel patterns. This paper also contributes to the discussion of the relevance of the Technology Acceptance Model for mobile applications by focusing on the importance of context characteristics, such as the degree of mobility of the user, the social situation people are in, and their need for social interaction. Based on surveys in the three countries as executed in 2009, we use structural equation modelling to find differences in patterns. The paper concludes that context factors have an impact on the relation between the core concepts as used in TAM and DOI approach, and that t here is a clear need for closer research in the moderating effect of physical (e.g. mobile and fixed context) and social context, as well as the need for social interaction. Moreover it is clear that country specific characteristics play a role in the acceptance of mobile travel services. As we pointed out in many of our research projects before the acceptance and use of mobile services requires deep understanding from individual, context and technology related characteristics and their mutual interactions