Recomindation: New Functions for Augmented
Memories
Advances in technological support for augmented personal memories
make possible new ways of enhancing the process of product recommendation.
Instead of simply analyzing information about a user's past behavior in order to
generate recommendations, a recominder system can additionally supply various
types of information from the user's augmented memory that allows the user
to take a more active role in the search for suitable products. We illustrate the
paradigm of recomindation with reference to a prototype implementation of the
system SPECTER in a CD shopping scenario and the results of a study with 19
users. The results shed light on the the potential and limitations of the proposed
new functionality.