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User Modeling for Improving QoS Using Partial User-Supplied Information

For the improvement of QoS, incorporation of usersupplied information in the network design and control process has become mandatory. A problem arises for the handling of new users, when information about existing users is already available. In the work presented in this paper, we were following two approaches to derive information about new users, both based on prototype generation for existing user’s answer pattern to a QoS related questionnaire. In the first approach, it was tried to classify user attributes to a fitting prototype. In the second approach, a mapping from partial answers to a prototype was used. As result, the first approach appeared to be infeasible, while the second one gave good results. In the resulting trade-off between the number of clusters and classification accuracy, this way it is possible, for example, with 8 prototypes for around 1000 users to issue a new user answer patterns by using only 30% of the questions, while reducing accuracy by only 13%.