This paper introduces the notion of "universal interaction," allowing a device to adapt its functionality to exploit services it discovers as it moves into a new environment.Users wish to invoke services -such as controlling the lights, printing locally, or reconfiguring the location of DNS serversfrom their mobile devices. But aptiotistandardizationof interfaces and methods for service invocation is infeasible. Thus, the challenge is to develop a new service architecture that supports heterogeneity in client devices and controlled objects, and which makes minimal assumptions about standard interfaces and control protocols.There are five components to a comprehensive solution to this problem: 1) allowing device mobility, 2) augmenting controllable objects to make them network-accessible, 3) building an underlying discovery architecture, 4) mapping between exported object interfaces and client device controls, and 5) building complex behaviors from underlying composableobjects.We motivate the need for these components by using an example scenario to derive the design requirements for our mobile services architecture. We then present a prototype implementation of elements of the architecture and some example services using it, including controls to audio/visual equipment, extensible mapping, server autoconfiguration, location tracking, and local printer access.
Recently, companies have become interested in understanding customers ' social networks -and gaining competi ti ve advantage through this understanding. Analysis of social interacti ons can potenti ally provide great value! For example, Social Network Analysis (SNA) in the telecommunicati ons industry provides insights into customers ' relati onships with each other, which can help drive customer retenti on, growth and acquisiti on acti viti es, as well as giving operators signifi cant competi ti ve advantage. In this paper, the authors describe several ways in which SNA can provide competi ti ve advantages to companies in diff erent industries. We also describe the challenges to realizing this potenti al value and some ways in which technology can help overcome obstacles. We also provide case study examples describing the ways in which companies gain competi ti ve advantage through SNA. Journal of Direct, Data and Digital Marketing Practice Introducti on to Social Network Analysis (SNA)Historical role of SNA SNA is the study of relationships and infl uence within a network of individuals. This is a very broad notion and, indeed, SNA has existed as a tool in the social sciences for more than a century. Historically, SNA focuses on identifying the critical individuals within some organizational structure, and identifying the various roles of these individuals in controlling the information fl ow and decision process within this organization. 1 To perform SNA, one needs to identify the individuals and then defi ne a measure of strength for the relationship between any two individuals. There is a very broad range of measures that have been used. Some of these are: fi nancial transactions, messages, time spent on phone, time spent in live meetings,
This talk will cover how businesses perceive the value of analytics and recommendation analytics in particular. Amidst the tremendous progress in the techniques of recommendation analytics, businesses are noticing that effective recommendations must take into account the product type, inventory constraints, and delivery conditions. An effective recommendation must integrate context about the customer, the selection channel, and the particular timing. The ongoing revolutions in payment mechanisms and multi-channel shopping systems are introducing new, and often ignored, challenges to recommendation systems which this talk hopes to expose.
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