算法构建个性化推荐的相关内容

阿里云文档 2023-12-28

使用Designer预置的FM算法模板构建推荐模型

FM（Factorization Machine）算法兼顾特征之间的相互作用，是一种非线性模型，适用于电商、广告及直播等推荐场景。Designer预置了FM算法模板，便于您快速构建基于Alink框架的FM推荐模型，快速实现推荐系统并应用于上述场景。本文为您介绍如何通过Designer预置的FM算法模板，快速构建推荐模型。

阿里云文档 2023-09-03

如何通过PAI提供的算法构建用户流失模型_人工智能平台 PAI(PAI)

本文为您介绍如何通过PAI提供的用户特征算法，快速构建用户流失模型。

文章 2023-02-23 来自：开发者社区

物以类聚人以群分,通过GensimLda文本聚类算法构建人工智能个性化推荐系统(Python3.10)

众所周知，个性化推荐系统能够根据用户的兴趣、偏好等信息向用户推荐相关内容，使得用户更感兴趣，从而提升用户体验，提高用户粘度，之前我们曾经使用协同过滤算法构建过个性化推荐系统，但基于显式反馈的算法就会有一定的局限性，本次我们使用无监督的Lda文本聚类方式来构建文本的个性化推荐系统。推荐算法:协同过滤/Lda聚类我们知道，协同过滤算法是一种基于用户的历史行为来推荐物品的算法。协同过滤算法利用用户之间....

文章 2023-01-23 来自：开发者社区

使用Python3配合协同过滤算法(base on user,基于人)构建一套简单的精准推荐系统（个性化推荐）

个性化推荐可谓风生水起，Youtube,Netflix,甚至于Pornhub，这些在互联网上叱咤风云的流媒体大鳄无一不靠推荐系统吸引流量变现，一些电商系统也纷纷利用精准推荐来获利，比如Amzon和Shopfiy等等，精准推荐用事实告诉我们，流媒体和商品不仅仅以内容的传播，它还能是一种交流沟通的方式。那么如何使用python语法构造一套属于我们自己的推荐系统呢，这里推荐协同过滤算法，它隶属于启发式....

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