A primary function of recommender systems is to help their users to make better choices and decisions. The overall goal of the workshop is to analyse and discuss novel techniques and approaches for supporting effective and efficient human decision making in different types of recommendation scenarios. The submitted papers discuss a wide range of topics, from core algorithmic issues to the management of the human computer interaction.

Workshop on Human Decision Making in Recommender Systems: Decisions@RecSys’13

DEGEMMIS, MARCO;LOPS, PASQUALE;SEMERARO, Giovanni;
2013

Abstract

A primary function of recommender systems is to help their users to make better choices and decisions. The overall goal of the workshop is to analyse and discuss novel techniques and approaches for supporting effective and efficient human decision making in different types of recommendation scenarios. The submitted papers discuss a wide range of topics, from core algorithmic issues to the management of the human computer interaction.
978-1-4503-2409-0
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/116330
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