Aug 15, 2018 · We introduce a simple, but very effective generative model that is capable of learning high-level representation from both short- and long-range item ...

We introduce a simple, but very effective generative model that is capable of learning high-level representation from both short- and long-range item ...

Considering the training speed of networks, in this paper we follow the path of sequential convolution techniques for the next item recommendation task. We show ...

[4] A Simple Convolutional Generative Network for Next Item Recommendation. WSDM2019. [5] Next Item Recommendation with Self-Attention. ICDM2018. Page 5 ...

A simple, but very effective generative model that is capable of learning high-level representation from both short- and long-range item dependencies is ...

The proposed generative model attains state-of-the-art accuracy with less training time in the next item recommendation task. It accordingly can be used as a ...

This is the first Generative Sequential Recommendation Model Based on Autoregressive Next-Token Generation.

Nov 13, 2020 · It accordingly can be used as a powerful recommendation baseline to beat in future, especially when there are long sequences of user feedback.

A Simple Convolutional Generative Network for Next Item Recommendation. Authors: Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M Jose ...

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