6,797 research outputs found

    Online advertising: analysis of privacy threats and protection approaches

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    Online advertising, the pillar of the “free” content on the Web, has revolutionized the marketing business in recent years by creating a myriad of new opportunities for advertisers to reach potential customers. The current advertising model builds upon an intricate infrastructure composed of a variety of intermediary entities and technologies whose main aim is to deliver personalized ads. For this purpose, a wealth of user data is collected, aggregated, processed and traded behind the scenes at an unprecedented rate. Despite the enormous value of online advertising, however, the intrusiveness and ubiquity of these practices prompt serious privacy concerns. This article surveys the online advertising infrastructure and its supporting technologies, and presents a thorough overview of the underlying privacy risks and the solutions that may mitigate them. We first analyze the threats and potential privacy attackers in this scenario of online advertising. In particular, we examine the main components of the advertising infrastructure in terms of tracking capabilities, data collection, aggregation level and privacy risk, and overview the tracking and data-sharing technologies employed by these components. Then, we conduct a comprehensive survey of the most relevant privacy mechanisms, and classify and compare them on the basis of their privacy guarantees and impact on the Web.Peer ReviewedPostprint (author's final draft

    Multimedia content modeling and personalization

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    Stickiness of Commercial Virtual Communities

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    The recent merging of the electronic market arena has enabled the creation of new environments in which consumers can interact with each other online – Commercial Virtual Communities (CVC). The strategic question facing internet businesses today is what are the components of the glue that makes consumers stay and return to websites in general and to CVCs in particular, i.e. how can one increase the stickiness of a CVC? This paper provides an insight into the nature of CVCs and the factors that drive their stickiness. The resulting framework is evaluated with the help of a survey among CVC experts. The results of the survey are presented.economics of technology ;

    A Design Functionality Study of IDM Web-Stores

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    One of the advantages of conducting business over the Internet is the ability to collect information about customer preferences in order to serve them accordingly. Personalisation provides a means of doing this. In this paper, we have attempted to study the effect of personalisation on the success of IDM web-stores. The major contribution of our paper is the extension of the IDM Platform Functionality Model of Srinivasan et al [24] to include personalisation. The second contribution is the investigation of six personalisation features that specify and describe this functionality in its various forms. We have used both quantitative and qualitative research techniques such as click-stream analysis and emphatic design in a focus group. Our findings suggest that personalisation is a significant component of IDM web-store design

    PSS Users and Harley Davidson Riders: : The importance of consumer identity in the diffusion of sustainable consumption solutions

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    This is the peer-reviewed version of the following article: Catulli, M., Cook, M. and Potter, S. (2016), ‘Product Service Systems Users and Harley Davidson Riders: The Importance of Consumer Identity in the Diffusion of Sustainable Consumption Solutions’, Journal of Industrial Ecology, which has been published in final form at 10.1111/jiec.12518. Under embargo. Embargo end date: 2 December 2018. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. © 2016 by Yale UniversityThis paper sets out an approach to researching socio-cultural aspects of Product Service Systems (PSS) consumption in consumer markets. PSS are relevant to Industrial Ecology as they may form part of the mix of innovations that move society toward more sustainable material and energy flows. The paper uses two contrasting case studies drawing on ethnographic analysis, Harley Davidson motorcycles and Zip Car Car Club. The analysis draws on Consumer Culture Theory to explicate the socio-cultural, experiential, symbolic and ideological aspects of these case studies, focusing on product ownership. The paper shows that ownership of Harley Davidson motorcycles enables riders to identify with a brand community and to define themselves. Owners appropriate their motorcycles through customization. In contrast, Zip Car users resist the company’s attempts to involve them in a brand community, see use of car sharing as a temporary fix and even fear contamination from shared use of cars. We conclude that iconic products such as Harley Davidson motorcycles create emotional attachment and can challenge PSS propositions. But we also suggest that somewhat standardized products may present similar difficulties. Knowing more about socio-cultural aspects of PSS may help designers overcome these difficulties.Peer reviewedFinal Accepted Versio

    Using big data for customer centric marketing

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    This chapter deliberates on “big data” and provides a short overview of business intelligence and emerging analytics. It underlines the importance of data for customer-centricity in marketing. This contribution contends that businesses ought to engage in marketing automation tools and apply them to create relevant, targeted customer experiences. Today’s business increasingly rely on digital media and mobile technologies as on-demand, real-time marketing has become more personalised than ever. Therefore, companies and brands are striving to nurture fruitful and long lasting relationships with customers. In a nutshell, this chapter explains why companies should recognise the value of data analysis and mobile applications as tools that drive consumer insights and engagement. It suggests that a strategic approach to big data could drive consumer preferences and may also help to improve the organisational performance.peer-reviewe

    Personalisation and recommender systems in digital libraries

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    Widespread use of the Internet has resulted in digital libraries that are increasingly used by diverse communities of users for diverse purposes and in which sharing and collaboration have become important social elements. As such libraries become commonplace, as their contents and services become more varied, and as their patrons become more experienced with computer technology, users will expect more sophisticated services from these libraries. A simple search function, normally an integral part of any digital library, increasingly leads to user frustration as user needs become more complex and as the volume of managed information increases. Proactive digital libraries, where the library evolves from being passive and untailored, are seen as offering great potential for addressing and overcoming these issues and include techniques such as personalisation and recommender systems. In this paper, following on from the DELOS/NSF Working Group on Personalisation and Recommender Systems for Digital Libraries, which met and reported during 2003, we present some background material on the scope of personalisation and recommender systems in digital libraries. We then outline the working group’s vision for the evolution of digital libraries and the role that personalisation and recommender systems will play, and we present a series of research challenges and specific recommendations and research priorities for the field
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