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SizeSquirrel - Your climbing shoe resource. Climbing shoe sales, find your size for any climbing shoe, recommendations based on foot shape, and more.

Home Page: https://sizesquirrel.com

License: GNU Lesser General Public License v3.0

Python 40.43% Mako 0.05% JavaScript 4.88% HTML 12.15% Vue 41.43% SCSS 1.06%
python vue climbing rock-climbing climbing-shoes contributions-welcome

sizesquirrel-open's Introduction

Hi ๐Ÿ‘‹, I'm Eddie Ferrer

A Front End Developer living in Colorado.


  • ๐Ÿ’ป ย  Iโ€™m currently working at - Kiva. Kiva is a non-profit that empowers underserved people to achieve their dreams by crowdfunding loans and unlocking capital. Our front end code is open source. Kiva - UI.

  • ๐Ÿง— ย  I have a side project - SizeSquirrel. SizeSquirrel crowd-sources climbing shoe sizing data to find users their size for shoes they don't have. It also finds deals on climbing shoes and recommends climbing shoes based on foot shape. It is open source: SizeSquirrel - Open Source.

  • ๐Ÿ‘จโ€๐Ÿ’ป ย  You can find this same info at: http://eferrer.info.

  • โšก ย  Fun facts: I like rock climbing, snowboarding, and baking bread. My favorite band is Tool. When I was a child I used to play competitive chess.


eddieferrer

eddieferrer



eddieferrer eduardoferrer sizesquirrel

sizesquirrel-open's People

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sizesquirrel-open's Issues

What about we build a recommender system

I love your website! I believe you have all the data necessary to build a great recommender system. However, if I understand correctly, you are not leveraging machine learning to make your recommendations. Please correct me if I am wrong.

I am a Data Scientist and build ML models for a living and have worked on fit/size prediction in one of my previous jobs. I would love to give a shot at creating a ML recommender system for your website. I believe this would avoid scenarios where you get a response such as 'We're unsure which of the sizes above will work.' and many 'size not found'

For a first prototype, I would just need a relatively simple data dump for a first version:
anonymized_user_id | shoe_model/sku_id | shoe_size that's about it! We can look together how the prototype performs offline and, if you feel like it, consider pursuing a more sophisticated version that takes into account foot shape etc...

Please let me know what you think!

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