Rule-based Customer Segmentation

Last update: Jan 03, 2022

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Overview

Rule-based Customer Segmentation

Business Problem

A game company wants to create level-based new customer definitions (personas) by using some features of its customers, and to create segments according to these new customer definitions and to estimate how much the new customers can earn on average according to these segments.

For Example: How much money come from it's customer who is 25-year-old, male and from Turkey, and he is an IOS user.

Dataset

Persona.csv dataset contains the prices of the products sold by an international game company and some demographic information of the users who buy these products.The data set consists of records created in each sales transaction.This means that the table is not deduplicated.In other words, a user with certain demographic characteristics may have made more than one purchase.

Owner

Cem Çaluk

Data Science

GitHub Repository

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Rule-based Customer Segmentation

Related tags

Overview

Rule-based Customer Segmentation

Business Problem

Dataset

Owner

Cem Çaluk

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

This repository is based on Ultralytics/yolov5, with adjustments to enable polygon prediction boxes.

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No-Reference Image Quality Assessment via Transformers, Relative Ranking, and Self-Consistency

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Code for our paper "Sematic Representation for Dialogue Modeling" in ACL2021

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A tutorial on DataFrames.jl prepared for JuliaCon2021

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An unofficial PyTorch implementation of a federated learning algorithm, FedAvg.

PyTorch evaluation code for Delving Deep into the Generalization of Vision Transformers under Distribution Shifts.

2020 CCF大数据与计算智能大赛-非结构化商业文本信息中隐私信息识别-第7名方案

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