Research and implementation of algorithm for short videos recommendation

Lai Jiang, Xiangling Fu
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引用次数: 1

Abstract

As the approaching of the UGC era, numerous short videos flood into the Internet every day, but at the present stage, it costs much resources and takes a lot of time to calculate the recommended videos. It is inevitable to search for a feasible recommended algorithm. In this paper, this issue has been studied based on distributed computing, innovatively combining the optimization of user tag cloud model. And then we has proposed practical schemes. Experimental results show that the proposed scheme is feasible but also efficient.
短视频推荐算法的研究与实现
随着UGC时代的临近,每天都有大量的短视频涌入互联网,但在现阶段,计算推荐视频需要耗费大量的资源和时间。寻找可行的推荐算法是不可避免的。本文基于分布式计算对这一问题进行了研究,创新性地结合了用户标签云模型的优化。然后我们提出了切实可行的方案。实验结果表明,该方案是可行且有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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