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The Kansei (Japanese for sensitivity) Distributed Information Management Environment, or K-DIME, software environment lets users or software applications fetch multimedia material from the Web on the basis of textual keywords and filter it using a Kansei user model (KUM). The KUM learns a mapping between low-level features of the multimedia data and impression words - such as "romantic" - expressed in natural language. K-DIME acts as a metasearch engine for the Web.
Nadia Bianchi‐Berthouze (Tue,) studied this question.