Pervasive Computing: Supporting Group Activities
نویسنده
چکیده
We have developed a group scheduler which allows users to specify personal preferences and request a suggestion for an activity and group of partners. This service confronts three major challenges; coordinating multiple users, modeling user intent, and maintaining privacy. We overcame these obstacles by using a central web server and optimizing a heuristic. We also describe potential attacks against this system and show how to defend the data by injecting random noise.
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