Myntra的尺码推荐系统

In recent years, online shopping has surged, revolutionizing how people purchase products and services. E-commerce’s convenience has reshaped consumer behaviour and the retail landscape. Unlike traditional stores, online shoppers often face sizing challenges, leading to hesitancy and missed sales. Myntra has been a pioneer in addressing size and fit challenges in India, leading the way with innovative solutions that have significantly enhanced the shopping experience.

近年来,在线购物激增,彻底改变了人们购买产品和服务的方式。电子商务的便利性重塑了消费者行为和零售格局。与传统商店不同,在线购物者常常面临尺码挑战,导致犹豫和错失销售。Myntra在解决印度的尺码和合身挑战方面一直处于领先地位,凭借创新解决方案显著提升了购物体验。

Building on its leadership in this space, Myntra’s latest initiatives take these solutions to the next level, offering even sharper and more effective recommendations. Solving this complex problem requires a combination of various features addressing size and fit issues. This blog details Myntra’s approach to size and fit recommendations, including our solution, implementation, offline pipelines, online services, handling size recommendation leakages, A/B analysis and more, providing a comprehensive overview of our strategies and outcomes.

在这一领域的领导地位基础上,Myntra最新的举措将这些解决方案提升到一个新的水平,提供更精准和更有效的推荐。解决这一复杂问题需要结合多种特性来应对尺码和合身问题。本文详细介绍了Myntra在尺码和合身推荐方面的方法,包括我们的解决方案、实施、离线管道、在线服务、处理尺码推荐泄漏、A/B分析等,提供了我们策略和结果的全面概述。

What is the solution being used at Myntra?

Myntra使用的解决方案是什么?

Personalized recommendations are generated using data science models, which rely on two main types of inputs -

个性化推荐是使用数据科学模型生成的,这些模型依赖于两种主要类型的输入 -

  1. Past purchases of the user
  2. 用户的过去购买记录
  3. Size and fit inputs provided through the “Try Size Finder” questionnaire for users without purchase history
  4. 通过“尝试尺码查找器”问卷提供的尺码和合身输入,适用于没有购买历史的用户

Image 1: Recommendation based on past purchases

图像1:基于过去购买的推荐

Image 2: Recommendation based on user inputs

图像2:基于用户输入的推荐

How have we implemented this solution?

我们是如何实施这个解决方案的?

We have implemented a Size Recommendation System (SRS) to personalize size and fit recommendations for Myntra users, enhancing their shopping experience. This end-to-e...

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