Collaborative filtering via heterogeneous neural networks

Published in Journal 1, 2021

Recommended citation: Wei Zeng, Ge Fan, et al. Collaborative filtering via heterogeneous neuralnetworks." Applied Soft Computing: 1-15. [PDF]

In order to model user-item interactions, we design a hybrid neural network where the MLP is used to build the global network and the residual network is applied to form the local neural blocks. Two top-n accuracy metrics are selected to measure the performance of algorithms since the accuracy of top-n item recommendation are the main concern for users in the real world applications.

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