Adaptacyjny system bankowości korporacyjnej : - analiza wymagań i wskazówki implementacyjne
DOI:
https://doi.org/10.18559/epa9wt79Słowa kluczowe:
Bankowość, Personalizacja, Adaptacja społeczno-zawodowa, ArchitekturaAbstrakt
Adaptive user interfaces allow users to modify the look and functionality of the application to suit their preferences. They are often used to increase user effectiveness and acceptance of a given software system. Adaptivity of the user interface poses certain new challenges if the application is delivered via the Web. The solutions for these challenges are presented in the article on the basis of an innovative adaptive e-banking system. The architecture of the system was designed for performance and scalability (up to thousands of users at the same time). The system is able to track user behaviour based on the events generated by the users during interaction with the system and uses data mining techniques to discover user preferences from the obtained event stream. The behaviour patterns and user preferences are converted into adaptation rules which are triggered either by change of the state of the application or events generated by the user.
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Bibliografia
Adomavicius, G., Tuzhilin, A., 2005, Personalization Technologies: A Process-oriented Perspective, Communications of the ACM, vol. 48, no. 10, s. 83-90.
Zobacz w Google Scholar
Agrawal, R., Srikant, R., 1994, Fast Algorithms for Mining Association Rules in Large Databases, w: Proceedings of the 20th International Conference on Very Large Data Bases, VLDB '94, Morgan Kaufmann Publishers Inc., San Francisco, s. 487-499,http://dl.acm.org/citation.cfm?id=645920.672836 [dostęp: 31.12.2012].
Zobacz w Google Scholar
Atterer, R., Wnuk, M., Schmidt, A., 2006, Knowing the User's Every Move: User Activity Tracking for Website Usability Evaluation and Implicit Interaction, w: Proceedings of the 15th International Conference on World Wide Web, WWW '06, ACM, New York, NY s. 203-212, http://doi.acm.org/10.1145/1135777.1135811 [dostęp: 31.12.2012].
Zobacz w Google Scholar
Brusilovsky, P., 1998, Adaptive Hypertext and Hypermedia, Springer.
Zobacz w Google Scholar
De Virgilio, R., Torlone, R., Houben, G.J., 2006, A Rule-based Approach to Content Delivery Adaptation in Web Information Systems, w: Proceedings of the 7th International Conference on Mobile Data Management, MDM '06, IEEE Computer Society, Washington, DC, http://dx.doi.org/10.1109/MDM.2006.16 [dostęp: 31.12.2012].
Zobacz w Google Scholar
Krištofič, A., Bieliková, M., 2005, Improving Adaptation in Web-based Educational Hyper-media by Means of Knowledge Discovery, w: Proceedings of the Sixteenth ACM Conference on Hypertext and Hypermedia, HYPERTEXT '05, ACM, New York, s. 184-192, http://doi.acm.org/10.1145/1083356.1083392 [dostęp: 31.12.2012].
Zobacz w Google Scholar
Malinowski, U., 1993, Adaptive User Interfaces: Principles and Practice, Elsevier.
Zobacz w Google Scholar
Mueller, F., Lockerd, A., 2001, Cheese: Tracking Mouse Movement Activity on Websites, a Tool for User Modeling, w: CHI '01 Extended Abstracts on Human Factors in Computing Systems, CHI EA '01, ACM, New York, s. 279-280, http://doi.acm.org/10.1145/634067.634233 [dostęp: 31.12.2012].
Zobacz w Google Scholar
Paskalev, P., 2009, Rule-based GUI Modification and Adaptation, w: Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, CompSysTech '09, ACM, New York, s. 93:1-93:7, http://doi.acm.org/10.1145/1731740.1731841 [dostęp: 31.12.2012].
Zobacz w Google Scholar
Paskalev, P., Serafimova, I., 2011, Rule Based Framework for Intelligent GUI Adaptation, w: Proceedings of the 12th International Conference on Computer Systems and Technologies, CompSysTech '11, ACM, New York, s. 101-108, http://doi.acm.org/10.1145/2023607.2023626 [dostęp: 31.12.2012].
Zobacz w Google Scholar
Wang, H., Mehta, R., Supakkul, S., Chung, L., 2011, Rule-based Context-aware Adaptation Using a Goal-oriented Ontology, w: Proceedings of the 2011 International Workshop on Situation Activity & Goal Awareness, SAGAware '11, ACM, New York, s. 67-76, http://doi.acm.org/10.1145/2030045.2030061 [dostęp: 31.12.2012].
Zobacz w Google Scholar
