The present study compares an adaptive simulated cellular-phone based recommender system to a non-adaptive one, in order to evaluate user preferences with respect to system adapti...
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Mobile recommender systems have the potential to substantially enrich tourist experiences. As their handling marks a big challenge for ordinary users, its acceptance can only be e...
Marko Modsching, Ronny Kramer, Klaus ten Hagen, Ul...
Abstract. We have developed the system "DAWN" (direction anticipation in web navigation) that learns navigational patterns to help users navigating through the world wide...
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...