Personalised Mashups: Opportunities and Challenges

نویسندگان

  • Minh Thang Dang
  • Vania Dimitrova
  • Karim Djemame
چکیده

Web 2.0 has emerged as the business ideology and development paradigm for the next generation of web applications. Mashups are one of the most popular types of Web 2.0 applications. This paper proposes the use of personalisation techniques to enhance the functionality of web mashups. The design, implementation, and evaluation of personalised mashups is illustrated with a case study of a travel assistant that combines interactive maps with access to data from both a public resource directory and a social database. This work contributes to user modelling by (a) presenting a robust and flexible service-oriented architecture of personalised mashups, and (b) identifying opportunities and challenges mashups bring to personalisation research.

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تاریخ انتشار 2006