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Gaussian Process Factorization Machines for Context-aware Recommendations

Nguyen, Trung; Karatzoglou, Alexandros; Baltrunas, Linas

Description

Context-aware recommendation (CAR) can lead to significant improvements in the relevance of the recommended items by modeling the nuanced ways in which context influences preferences. The dominant approach in context-aware recommendation has been the multidimensional latent factors approach in which users, items, and context variables are represented as latent features in a low-dimensional space. An interaction between a user, item, and a context variable is typically modeled as some linear...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
URI: http://hdl.handle.net/1885/66993
Source: Gaussian Process Factorizatin Machines for Context-aware Recommendations
DOI: 10.1145/2600428.2609623

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