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» Evaluating user preferences for adaptive reminding
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GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
13 years 11 months ago
Cascaded generic XCS to learn about reminding preferences
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...
Nadine Richard, Samuel Tardieu, Seiji Yamada
IUI
2010
ACM
14 years 1 months ago
An adaptive calendar assistant using pattern mining for user preference modelling
In this paper, we present SmartCal, a calendar assistant that suggests appointment attributes, such as time, day, duration, etc., given any combination of initial user input attri...
Alfred Krzywicki, Wayne Wobcke, Anna Wong
ACMSE
2006
ACM
13 years 10 months ago
Evaluation of a location-linked notes system
We present a location-aware messaging system that lets users read and post notes linked to a particular location. We developed multiple clients (designed to run on desktop compute...
Manas Tungare, Ingrid Burbey, Manuel A. Pér...
IUI
2004
ACM
13 years 10 months ago
Don't miss-r --: recommending restaurants through an adaptive mobile system
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...
Dina Goren-Bar, Tsvi Kuflik