aldamiz

6 ms·

1.
by aldamiz 6y ago
Anytime:)
2.
by aldamiz 6y ago
Good job! We built something in the space, discussed it in detail here https://news.ycombinator.com/item?id=21703297
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by aldamiz 7y ago
thanks rurp - fixed.
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by aldamiz 7y ago
I wouldn't say our "Product people" are very traditional product people, you have our bios and focus in the team link in the post and below. Hope it helps https://docs.google.com/document/u/1/d&
5.
by aldamiz 7y ago
Yes. I wouldn say our "Product people" are not very traditional product people, you have our bios and focus in the team link in the post and below. Hope that clarifies the doubts. I've also clarified it in the text, and it no
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by aldamiz 7y ago
thanks sofia :)
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by aldamiz 7y ago
thanks theicfire :) maybe in the future!
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by aldamiz 7y ago
:)
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by aldamiz 7y ago
Hey AndrewKemendo, such a great comment, so many points to think about. Thanks for sharing!
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by aldamiz 7y ago
In our case, size is a property in the ontology. For some players (second hand for example) size is the number one "personalization" requirement. Imagine you see a feed of products, and none of it is your size...
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by aldamiz 7y ago
:) You are right, the fashion taste api website does not intend to be stylish. It tries to convey a message to business and tech teams, and we know it could have a better design. Take a look at the consumer product https://www.yo
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by aldamiz 7y ago
Thanks bumblebee4 - fashiontasteapi.com is a the b2b side of the company and the value prop is that we can help retailers automatically classify clothes and understand/classify people. It is for technical and business people, not the e
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by aldamiz 7y ago
Yes you are right, it is an excerpt from one of our patents. I completely agree that it is very confusing as a caption, and I've taken it out. Doing it in a hurry didn't help. Thanks for the heads up.
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by aldamiz 7y ago
I hope you can read the post and be more positive. Thanks!
15.
How to proceed when you run out of cash, but you still believe?(medium.com)
292 points by aldamiz 7y ago|202 comments
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In-store outfit recommender system(medium.com)
1 points by aldamiz 7y ago|0 comments
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Brexit: Vote on second referendum, now possible(theguardian.com)
2 points by aldamiz 7y ago|1 comments
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by aldamiz 7y ago
Facebook always linked to great news!
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Google is beating Facebook in the SSO battle, after G+ debacle(blog.chicisimo.com)
1 points by aldamiz 7y ago|0 comments
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by aldamiz 7y ago
Thanks Andrew. They are an amazing team with a great ontology, I agree. Thanks for the heads up!
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Pelosi: Tech cos are abusing the immunity they get under Communications D.A(recode.net)
6 points by aldamiz 7y ago|0 comments
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by aldamiz 7y ago
Thanks for your interest Goldemerald. A couple of comments: - We do use DL. I didn't mention it because it is not relevant in the context of the post; - How we use DL. One of the jobs of the graph is to tell the DL algorithm what conte
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by aldamiz 7y ago
I wonder how much will this impact in conversion to trials
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Apple tries to stop accidental App Store subscriptions(twitter.com)
1 points by aldamiz 7y ago|1 comments
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by aldamiz 7y ago
Hey Andrew, we started building it in 2012. The concept is similar as you say. The most relevant difference is the ontology: our ontology is very specific to what-to-wear needs, theirs isn't. Thanks
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Taste graphs will transform fashion(blog.chicisimo.com)
20 points by aldamiz 7y ago|17 comments
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by aldamiz 7y ago
>FB will use artificial intelligence to determine when someone has died Everything about Facebook looks terrible
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by aldamiz 7y ago
Totally agree with this "The product mindset is a complicated definition". I'd say it is about understanding that building a product people really love and engages with, is key to success. Not the only factor of course, but t
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by aldamiz 7y ago
If I understand well, you are using both product tags from retailers, and generating your own tags using image search? I'm curious: how many tags have your trained your system for... how large in your taxonomy?
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by aldamiz 8y ago
I would totally use this!

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