改进的基于用户的电影推荐算法

2016 2nd IEEE International Conference on Computer and Communications (ICCC) Pub Date : 2016-10-01 DOI:10.1109/COMPCOMM.2016.7924828

Dongping Zhao, Jiapeng Xiu, Zhengqiu Yang, Chen Liu

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引用次数: 2

摘要

本文在基于用户推荐算法的基础上提出了一种改进的基于用户的电影推荐算法，该算法通过将用户的年龄和性别合并到用户对物品的偏好值中来重写用户相似度。然后提供RMSE(均方根误差)来表明所提出的算法比原始算法更准确。

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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An improved user-based movie recommendation algorithm

This paper introduces an improved user-based movie recommendation algorithm based on the user-based recommendation algorithm, which rewrites usersimilarity by merging users' ages and genders into users' preference values on items. The RMSE (Root Mean Square Error) then is provided to indicate that the proposed algorithm is more accurate that the original one.

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2016 2nd IEEE International Conference on Computer and Communications (ICCC)

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