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Träfflista för sökning "LAR1:ltu ;pers:(Zaslavsky Arkady)"

Sökning: LAR1:ltu > Zaslavsky Arkady

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  • Ajenstat, Jacques, et al. (författare)
  • Modeling and adapting to context changes : the case of stock market decisions making
  • 2005
  • Ingår i: Proceedings of the Workshop on Context Modeling and Decision Support.
  • Konferensbidrag (refereegranskat)abstract
    • A stock market decision making makes a compelling case for the use of context aware systems that can adapt to a context behavior known as ‘random walk'. To defend such a proposition the paper adopts the formulation typically used in sensor driven applications that involves critical context characteristics of pervasiveness and instability. From the pervasive perspective the paper concentrates on the ability to characterize a context-state trajectory behavior in real-time to proactively estimate the trend of context change. From the perspective of instability it discusses context related mechanisms such as hedging with derivative instruments as a way to caliber context aware system sensitivity to contextual changes. To validate the idea the paper introduces a special case of an equity option portfolio that is simultaneously delta, gamma and Vega neutral, to deal with extreme context-state exhibiting unpredictable time-varying behavior. Based on some preliminary results of real life experimentation the paper concludes with a continuing current debate on the distinctive merits of reactive versus proactive context.
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  • Alahakoon, Oshadi, et al. (författare)
  • Capturing buying behaviour using a layered user model
  • 2007
  • Ingår i: E-Commerce and Web Technologies. - Berlin : Encyclopedia of Global Archaeology/Springer Verlag. - 9783540745624 ; , s. 109-118
  • Konferensbidrag (refereegranskat)abstract
    • User models are important tools for personalization, especially in ecommerce applications. But capturing dynamically changing user needs is a challenge. One of the reasons for such difficulty is that the purchasing behavior of an individual is based on a number of different aspects. In this paper we identify these aspects as a combination of demographics, domain based expectations and transactions. Since each individual can demonstrate a unique combination of these aspects, to achieve finer personalization, such individuality will have to be captured in user models. In this paper we propose such a user model architecture, which also has the ability to self-improve adapting to changes of individual behavior and long term modeling possibilities.
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  • Alahakoon, Oshadi, et al. (författare)
  • Unobtrusive acqusition of user information for e-commerce applications
  • 2005
  • Ingår i: Proceedings of the Sixth International Conference on Enterprise Information Systems. - Setúbal : INSTICC Press. - 9728865007 ; , s. 3-8
  • Konferensbidrag (refereegranskat)abstract
    • E-commerce has become a common activity among many people. Although widely used, the interfaces which users communicate with e-commerce systems are still at an early stage of development in terms of intelligence and user-friendliness. Unobtrusiveness is recognized as one of the most important desired attributes of an intelligent and friendly interface. In this paper we describe our work on an information architecture to minimize obtrusiveness. A layered information architecture supported by a structured user profile model is described in the paper. As example scenario is presented to clarify the new architecture and the development of a cost model for measuring the level of obtrusiveness is discussed
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  • Alahakoon, O., et al. (författare)
  • User profiles with common modules for multiple domains
  • 2005
  • Ingår i: IPSI-2005 Hawaii, January 6 - 8, 2005. - : IPSI Belgrade. - 8674661173 ; , s. 9-
  • Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
    • Personalization using profiles of the users has become an important feature in the fast growing number of e-commerce applications. In current applications, these profiles are usually tailored to the application domains. Therefore separate profiles have to be generated and maintained for each different application domain. Each time a new need arises, users have to reveal their personal details or/and needs to new applications. To overcome this limitation we propose a novel modular user profile, which has layers of information enabling these to be used across multiple application domains. The proposed model consists of three layers where information related to a particular user is separated according to "domain dependence".
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