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Context-Sensitive Recommender Systems

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Abstract

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

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Notes

  1. 1.

    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.

  2. 2.

    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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  1. IBM T.J. Watson Research Center, Yorktown Heights, NY, USA

    Charu C. Aggarwal

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Aggarwal, C.C. (2016). Context-Sensitive Recommender Systems. In: Recommender Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-29659-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-29659-3_8

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