根据积极的客户参与度，确定哪些是增长最快的用户

本文介绍了根据积极的客户参与度，确定哪些是增长最快的用户的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！ 问题描述

我有以下数据集:

我被问到:定义一个指标和一个相应的功能，以确定在过去一年中积极的客户参与方面，哪些用户增长最快.根据定义增长最快的用户"的指标，报告前10位用户.

I am being asked: Define a metric and a corresponding function that determines which are the fastest growing users in terms of positive customer engagement over the last year. Report the top 10 users based on the metric that defines "fastest growing user".

到目前为止，我已经创建了一个相关矩阵:

So far I have created a correlation matrix:

user_id content_count total_engagement date_Delta user_id 1.000000 -0.056683 0.027150 -0.000014 content_count -0.056683 1.000000 0.215149 -0.007097 total_engagement 0.027150 0.215149 1.000000 0.002337 date_Delta -0.000014 -0.007097 0.002337 1.000000

如您所见，content_count和total_engagement具有最佳的相关性组件.

As you can see content_count and total_engagement have the best correlation component.

接下来我要做的是创建每个user_id及其total_engagement的图形，以查看总体线性度，这将对哪些用户的total_engagement有所增加提供一些指示.

What I am thinking of doing next is to create a graph of each user_id and their total_engagement to see the overall linearity which will give some indication as to which users had a strong increasing total_engagement.

尽管如此，我总体上还是对如何为提出的问题定义指标感到困惑.我想我只是想发表这篇文章，看看我是否可以让任何人提出一些想法.

Although, I am overall a bit confused with how to define a metric for the question posed. I guess I just want to make this post to see if I could get anyone to purpose some ideas.

推荐答案

您必须具有一个新字段，该字段将说明user_id的每日参与度.诸如total_management/date_delta之类的东西，可以提供实际的每日参与度.

You must have new field which will tell daily engagement for user_id. something like total_management/date_delta which will give actual day engagement.