Abstract
The main element of profit-bringing in the business, so in the e-business too, is the client; therefore increasing the financial efficiency can be achieved by optimizing the components that stimulate him to allocate more money for the business products and services. This article aims to propose a technical frame, an orientation and a development analysis in terms of learning-based systems. Using ontology, learning-based system will have as purpose understanding user preferences and correctly predicting them by starting from a minimal knowledge accumulation, so that the interest rate reached by this information to be larger. Learning-based system will work with web platform, so that the generated decisions to be implemented dynamically, rapidly and automatically.
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References
Magazine, Fortune. Fortune 500 2011: Top Performers. CNNMoney. Cable News Network (January 1, 2012), http://money.cnn.com/magazines/fortune/fortune500/2011/performers/companies/profits/ (Web. June 27, 2012)
Union, European. Europe’s Digital Competitiveness Report 2010. Europe’s Digital Competitiveness Report 2010 (January 1, 2011), http://ec.europa.eu/information_society/digital-agenda/documents/edcr.pdf (Web. March 1, 2012)
Hsu, G., Lin, Y., Wei, Z.: Competition Policy for Technological Innovation in an Era of Knowledge-based Economy. Knowledge-Based Systems 21(8), 826–832 (2008)
Simperl, E.: Reusing Ontologies on the Semantic Web: A Feasibility Study. Data & Knowledge Engineering 68(10), 905–925 (2009)
GarcÃa-Castro, R., Gómez-Pérez, A.: Interoperability Results for Semantic Web Technologies Using OWL as the Interchange Language. Web Seman-tics: Science, Services and Agents on the World Wide Web 8(4), 278–291 (2010)
Park, J., Cho, W., Rho, S.: Evaluating Ontology Extraction Tools Using a Comprehensive Evaluation Framework. Data & Knowledge Engineering 69(10), 1043–1061 (2010)
Liu, X., Zhang, W.J., Tu, Y.L., Jiang, R.: An Analytical Approach to Customer Requirement Satisfaction in Design Specification Development. IEEE Transactions on Engineering Management 55(1), 94–102 (2008)
D’Aquin, M., Noy, N.F.: Where to Publish and Find Ontologies? A Survey of Ontology Libraries. Web Semantics: Science, Services and Agents on the World Wide Web 11, 96–111 (2012)
Liu, Y., Xue, Y., Xu, D., Cen, R., Zhang, M., Ma, S., Ru, L.: Constructing a Reliable Web Graph with Information on Browsing Behavior. Decision Support Systems (accepted, 2012)
Zhou, Q., Ye, H., Ding, Z.: Performance Analysis of Web Applications Based on User Navigation. Physics Procedia 24, Part B, 1319–1328 (2012)
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Stan, IS., Stroe, IS. (2013). Optimizing E-Business Using Learning-Based Systems. In: Balas, V., Fodor, J., Várkonyi-Kóczy, A., Dombi, J., Jain, L. (eds) Soft Computing Applications. Advances in Intelligent Systems and Computing, vol 195. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33941-7_57
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DOI: https://doi.org/10.1007/978-3-642-33941-7_57
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