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2016 | OriginalPaper | Buchkapitel

8. Context-Sensitive Recommender Systems

verfasst von : Charu C. Aggarwal

Erschienen in: Recommender Systems

Verlag: Springer International Publishing

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“For me context is the key – from that comes the understanding

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Vorheriges Kapitel Evaluating Recommender Systems

Nächstes Kapitel Time- and Location-Sensitive Recommender Systems

In the traditional database context, the notions of dimension and attribute mean the same thing. In this case, however, they do not mean the same thing. A set of attributes is associated with a dimension.

This similarity might not be obvious at first because the two equations do not use the same notation. Each k-dimensional factor vector \(\overline{v_{i}}\) of the factorization machine is equivalent to one of the k-dimensional rows of either the user, item, or context factor matrix in Equation 8.6.

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http://www.kddcup2012.org/workshop

Titel: Context-Sensitive Recommender Systems
verfasst von: Charu C. Aggarwal
Verlag: Springer International Publishing
Buch: Recommender Systems
Print ISBN: 978-3-319-29657-9

Electronic ISBN: 978-3-319-29659-3

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-29659-3_8

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