MindTitan > 实例探究 > 简化用户引导并提高参与度：案例研究

简化用户引导并提高参与度：案例研究

技术

分析与建模 - 机器学习
平台即服务 (PaaS) - 应用开发平台

适用行业

教育
设备与机械

适用功能

采购
质量保证

用例

预测性维护
时间敏感网络

服务

数据科学服务
培训

关于客户

Fuzu 为东非就业市场上年轻、雄心勃勃的专业人士提供服务。他们为求职者提供就业机会，为招聘人员提供合适的候选人。 Fuzu 目前为肯尼亚、乌干达和尼日利亚超过一百万用户提供服务。

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挑战

Fuzu 是一家总部位于赫尔辛基的公司，希望简化用户入门体验并通过个性化推荐提高参与度。

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解决方案

Fuzu 与 MindTitan 合作，为有效的推荐引擎创建机器学习模型。他们对上传的文本文档中的数据进行分类，以获得引擎的输入数据。这使得工作申请的点击率提高了 30%，教育水平分类的准确率提高了 90%。

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运营影响

The implementation of machine learning models and the collaboration with MindTitan enabled Fuzu to streamline its onboarding process and provide personalized job recommendations. This led to an increase in user engagement and satisfaction. The platform was able to provide companies and headhunters with potential employee profiles with the skill sets they’re looking for. The use of categorization algorithms allowed Fuzu to spend less time on identifying and posting content from partner platforms that is of interest to their users. The company was able to recognize specific industries with a high level of accuracy and pre-fill lots of fields, like educational level and job category, thanks to these predictive models. The collaboration with MindTitan also laid the groundwork for Fuzu to explore new areas where they can use these technologies.

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数量效益

Click-through rate for job applications increased by 30%
Classifies education level with 90% accuracy
Enabled Fuzu to become increasingly data-driven

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