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Using context history to personalize a resource recommender via a genetic algorithm
2010 10th International Conference on Intelligent Systems Design and Applications
Situation awareness is a promising approach to recommend to a mobile user the most suitable resources for a specific situation. However, determining the correct user situation is not a simple task since users have different habits that may affect the way in which the situations arise. Thus, an appropriate tuning aimed at adapting the situation recognizer to the specific user is desirable to make a resource recommender more effective. In this paper, we show how this objective can be achieved bydoi:10.1109/isda.2010.5687064 dblp:conf/isda/CiaramellaCLM10 fatcat:gphkyhuajfg2xcb7ejjetpof5y