Constructive recommendation is the task of recommending object "configurations", i.e. objects that can be assembled from their components on the basis of the user preferences. Examples include: PC configurations, recipes, travel plans, layouts, and other structured objects. Recommended objects are created by maximizing a learned utility function over an exponentially (or even infinitely) large combinatorial space of configurations. The utility function is learned through preference elicitation, an interactive process for collecting user feedback about recommended objects. Constructive recommendation systems can help users make good decisions over complex configuration spaces. Our goal is to adapt existing machine learning techniques, or devise new ones, in order to build recommendation systems suitable for constructive tasks.

Constructive Recommendation / Dragone, Paolo. - ELETTRONICO. - (2017), pp. 441-445. ((Intervento presentato al convegno Eleventh ACM Conference on Recommender Systems tenutosi a Como nel 27th-31st August 2017 [10.1145/3109859.3109867].

Constructive Recommendation

Paolo Dragone
2017

Abstract

Constructive recommendation is the task of recommending object "configurations", i.e. objects that can be assembled from their components on the basis of the user preferences. Examples include: PC configurations, recipes, travel plans, layouts, and other structured objects. Recommended objects are created by maximizing a learned utility function over an exponentially (or even infinitely) large combinatorial space of configurations. The utility function is learned through preference elicitation, an interactive process for collecting user feedback about recommended objects. Constructive recommendation systems can help users make good decisions over complex configuration spaces. Our goal is to adapt existing machine learning techniques, or devise new ones, in order to build recommendation systems suitable for constructive tasks.
Proceedings of the Eleventh ACM Conference on Recommender Systems
Como
ACM
978-1-4503-4652-8
Dragone, Paolo
Constructive Recommendation / Dragone, Paolo. - ELETTRONICO. - (2017), pp. 441-445. ((Intervento presentato al convegno Eleventh ACM Conference on Recommender Systems tenutosi a Como nel 27th-31st August 2017 [10.1145/3109859.3109867].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11572/194091
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