Self-over-CoAttention module uses co-attention to model correlation patterns across different levels . We propose a Self-Over-Coattention module to enhance user’s interest representation . Experimental results on filtered public datasets verify that our module is useful . We use self-attraction to model correlations patterns within a specificlevel of interest in micro-videos . We hope to use the module to improve the user’s view of micro-video content .

Author(s) : Dong Yao, Shengyu Zhang, Zhou Zhao, Wenyan Fan, Jieming Zhu, Xiuqiang He, Fei Wu

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Keywords : module - micro - user - coattention - model -

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