Multi-Branch Convolutional Network for Context-Aware Recommendation

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 1709-1712, 2020.

Cited by: 0|Bibtex|Views117|DOI:https://doi.org/10.1145/3397271.3401218
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Factorization Machine (FM)-based models can only reveal the relationship between a pair of features. With all feature embeddings fed to a MLP, DNN-based factorization models which combine FM with multi-layer perceptron (MLP) can only reveal the relationship among some features implicitly. Some other DNN-based methods apply CNN to generate...More

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