Application personalization holds the promise of enhancing the effectiveness of software, facilitating its use, and creating a stronger emotional bond with its users, thus contributing to a user-centered application experience. Traditionally, the development of personalized applications and the acquisition of quality user data as the basis for personalization have posed significant challenges. This article presents a novel experimental development and execution platform that enables a simple, general, systematic, and consistent approach to developing personalized Web applications according to long-term user characteristics. The platform leverages social network user profiles as a source of user characteristics. We describe the key conceptual and technical goals as well as the platform design challenges in detail. An example demonstrates the programming methodology and its benefits.
CITATION STYLE
Klemm, R. (2016). A platform approach to personalizing web applications with social network user profiles. In Advances in Intelligent Systems and Computing (Vol. 444, pp. 807–816). Springer Verlag. https://doi.org/10.1007/978-3-319-31232-3_76
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