This paper describes the work on enabling personalization services on the edge of the Internet. In contrast to traditional approaches, this method offers many advantages. First, content providers can make their content people-aware while the content is delivered to the user. Second, since the personalization work is distributed to an overlay network of edge servers, it greatly improves the scalability and availability of the services. Third, the sufficiency of user data in edge servers enables to build more accurate user models which can further enhance the performance of personalization services. This paper describes the implementation of a prototype system named Avatar and presents some experimental result in this paper.
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