Abstract

User information is needed for personalized services. Currently there are mainly two approaches to collect a user's information, explicit approach by acquiring information directly from the user and implicit approach by gathering the user's activities and behaviors almost without the user's awareness. This paper is to study a new approach, which gets a user's information from a Cyber-I that has kept certain information about the user. A Cyber-I, short for Cyber Individual, is a digital counterpart of a user (i.e., Real-I), and it contains three categories of a user's information, basic data like a profile about the user, raw data like Web browsing history done by the user, and model like the user's preference by analyses of the user's browsing historic data. The main challenge in getting personal information from a Cyber-I is how to provide requested information to a personal service and sufficiently persevere the user's privacy requirement. Thus, this paper is focused on providing Cyber-I information to personalized services by best-efforts provisions, simultaneously provide privacy preservation for Cyber-I, and building a Cyber-I Information Provision System (CIPS) to test the proposed new approach.

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