Adaptive Profile Inferences for Cooperative Query Answering

Michael Barg and Raymond K. Wong

In response to the differing relaxation needs of individual users, this paper presents novel solutions for generating improved user profiles. A method of merging stereotype information and individual profiles is suggested, so that the system can react usefully upon first encountering an individual. This paper also proposes a method whereby the system can make inferences about useful profiles to use in a given situation, in instances where the exact situation has not been previously encountered, but where similar situaions have. Finally, a method is proposed to re-evaluate the inference strategy of the system in determining the importance of the various terms for a specific user, instead of using only a single, rigid inflexible rule.

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