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 recominder1 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.

• Type: Conference
• Year: 2006
• Where: AH
• Authors: Carolin Plate, Nathalie Basselin, Alexander Kröner, Michael Schneider, Stephan Baldes, Vania Dimitrova, Anthony Jameson
• Keywords: AH 2006, Augmented Personal Memories, Internet Technology, User's Augmented Memory, User's Past Behavior