Interacting Attention-gated Recurrent Networks for Recommendation

5 Sep 2017Wenjie PeiJie YangZhu SunJie ZhangAlessandro BozzonDavid M. J. Tax

Capturing the temporal dynamics of user preferences over items is important for recommendation. Existing methods mainly assume that all time steps in user-item interaction history are equally relevant to recommendation, which however does not apply in real-world scenarios where user-item interactions can often happen accidentally... (read more)

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