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An Introduction to Recommender Systems Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

9. Time- and Location-Sensitive Recommender Systems

verfasst von : Charu C. Aggarwal

Erschienen in: Recommender Systems

Verlag: Springer International Publishing

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Abstract

In many real scenarios, the buying and rating behaviors of customers are associated with temporal information. For example, the ratings in the Netflix Prize data set are associated with a “GradeDate” variable, and it was eventually shown [310] how the temporal component could be used to improve the rating predictions.

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Vorheriges Kapitel Context-Sensitive Recommender Systems
Nächstes Kapitel Structural Recommendations in Networks
Fußnoten
1
The original work [186] does not use a modulus in the denominator. We have added it in Equation 9.3 because omitting it does not make much sense in the case of negative similarity. Nevertheless, negative similarities in the peer item-group are rare in practical settings because the peers are defined as the most similar items.
 
2
In the discussion of section 3.​6.​4.​6, the bias variables are absorbed within the factor matrices U and V by increasing the number of columns in each of the two factor matrices from k to (k + 2). However, in this exposition, we do not absorb the bias variables in the columns of the factor matrices. This is because of the more complex and special way in which bias variables are treated in temporal models. For example, Equation 3.​21 of Chapter 3 and Equation 9.6 are identical, but they use somewhat different notations. It is important to keep these notational distinctions in mind to avoid confusion.
 
3
The work in [293] uses time-varying item factors.
 
4
Refer to the bibliographic notes for background on Markov chains.
 
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Metadaten
Titel
Time- and Location-Sensitive Recommender Systems
verfasst von
Charu C. Aggarwal
Copyright-Jahr
2016
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_9