Case-based User Profiling in a Personal Travel Assistant
This paper presents an architecture for a Personal Travel Assistant (PTA) which can elaborate on a users travel request and evaluate travel offers. Information on user behaviour is stored in a case base in the form of a Case Retrieval Net. This lazy approach has the advantages that it is incremental, extendible and allows flexible reuse of the information.
KeywordsUser Profile Information Entity Relevance Link Lazy Learning Travel Preference
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