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Group Recommender Systems: New Perspectives in the Social Web

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Recommender Systems for the Social Web

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 32))

Abstract

An increasingly important type of recommender systems comprises those that generate suggestions for groups rather than for individuals. In this chapter, we revise state of the art approaches on group formation, modelling and recommendation, and present challenging problems to be included in the group recommender system research agenda in the context of the Social Web.

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Authors and Affiliations

  1. Universidad Autónoma de Madrid, 28049, Madrid, Spain

    Iván Cantador & Pablo Castells

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  1. Iván Cantador
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  2. Pablo Castells
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Correspondence to Iván Cantador .

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Cantador, I., Castells, P. (2012). Group Recommender Systems: New Perspectives in the Social Web. In: Recommender Systems for the Social Web. Intelligent Systems Reference Library, vol 32. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25694-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-25694-3_7

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  • Print ISBN: 978-3-642-25693-6

  • Online ISBN: 978-3-642-25694-3

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