Gaussian Process Factorization Machines for Context-aware Recommendations
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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]
Collections | ANU Research Publications |
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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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01_Nguyen_Gaussian_Process_Factorization_2014.pdf | 499.72 kB | Adobe PDF |
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