| Paper title: |
On Web 2.0 Delivery Contexts |
| Published in: | Issue 1, (Vol. 4) / 2010 |
| Publishing date: | 2010-03-30 |
| Pages: | 29-32 |
| Author(s): | Robert A. Buchmann, Raluca Arba, Romina Zaharie |
| Abstract. | The Internet has become a place where millions of people around the globe access a vast amount of information. In the last years, a new technological revolution took place through the development of the mobile technology - including mobile phones, personal digital assistants (PDAs), and handheld computers. This modern revolution provides an innovative medium of communication and internet access. Consumers and organizations have benefited and are supposed to benefit even more in the future from the features of m-commerce technologies through these mobile applications, such as mobile websites, advertising, portal access points, information and news services, entertainment and games, education and training etc. On the other hand, this greatly increases heterogeneity and raises issues for Web sites that try to adapt to users preferences and needs. The purpose of this article is to develop a deeper understanding of adaptability and personalization techniques over the internet, subordinated to the so called “delivery context”, which designates the hardware and software context from which a certain user accesses a Web site. The companies, in their competition for consumers’ dollars are more and more aware that it is no longer sufficient to just place the products or services offers onto the Internet and expect the sales to rise. The e-commerce website designing is undergoing a significant revolution. It has become an important strategy to design websites that are able to provide contents that are matched to the customer’s technology, needs or preferences |
| Keywords: | Adaptability, Personalization, E-commerce, Mcommerce, Customer Needs. |
| References: | 1.. Bing L., “Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications)”, Springer-Verlag Berlin Heidelberg 2007 2.. Gulden Uchyigit, Matthew Y Ma, “Personalization Techniques And Recommender Systems”, World Scientific Publishing 2008 3.. Marmanis H., Babenko D., “Algorithms of the Intelligent Web”, Manning 4.. Ramsay, J. O.; Silverman, B. W., “Functional Data Analysis”, Pub. New York Springer-Verlag New York, 1997; 5.. Zaharie R., Buchman R. A., “Website Adaptability and Personalization” Proceedings of the KEPT Conference, Cluj-Napoca, 2009 6.. http://msdn.microsoft.com/en-s/library/ms537503.aspx 7.. http://www.kaizenmaven.com/2009/02/why-a-mobileverision-of-yourwebsite- is-a-necessity/ 8.. http://www.w3.org/Mobile/CCPP/ 9.. http://www.w3.org/TR/2008/REC-DDR-Simple-API- 20081205/ |
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