RecSys’12 workshop on human decision making in recommender systems

M. de Gemmis; A. Feifernig; P. Lops; F. Ricci; G. Semeraro; M.C. Willemsen

doi:10.1145/2365952.2366040

RecSys’12 workshop on human decision making in recommender systems

M. de Gemmis, A. Feifernig, P. Lops, F. Ricci, G. Semeraro, M.C. Willemsen

Human Technology Interaction

Research output: Contribution to conference › Abstract › Academic

1 Citation (Scopus)

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.

Original language	English
Pages	347-348
DOIs	https://doi.org/10.1145/2365952.2366040
Publication status	Published - 2012

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title = "RecSys{\textquoteright}12 workshop on human decision making in recommender systems",

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.",

author = "{de Gemmis}, M. and A. Feifernig and P. Lops and F. Ricci and G. Semeraro and M.C. Willemsen",

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AU - Semeraro, G.

AU - Willemsen, M.C.

PY - 2012

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AB - 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.

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DO - 10.1145/2365952.2366040

M3 - Abstract

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RecSys’12 workshop on human decision making in recommender systems

Abstract

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