Show HN: Similar Phone Finder
11–20 of 29 posts
Re: Show HN: Similar Phone Finder
#12If I type my phone "Galaxy Note 4", I get it compared to the "Galaxy Note4" (missing space), which has different battery/screen/weight specs. http://www.productchart.com/smartphones/similar_to_4245
Re: Show HN: Similar Phone Finder
#13This looks good. What I was expecting though was a low price phone which match the specs on my phone. I know those phones are out there, but I would like to sort by price (so that I can find cheapest), OS (android/windows/ios), manufacturer.
http://www.productchart.com/smartphones/
The similarity finder is a new addon. I want to find out if "distance based on specs" is an alternative to the usual "customers who bought x also bought y".
Re: Show HN: Similar Phone Finder
#14However, I was expecting that a Xperia Z1 Compact would be compared with an Xperia Z3 Compact, or at least between similar phones.
It is twice the price and twice the max SD card capacity, but besides that, I think they are quite similar: http://www.productchart.com/smartphones/4597_vs_4674 http://www.phonearena.com/phones/size#/phones/size/Sony-Xper...
Refine the comparing algorithm and it will be awesome.
Re: Show HN: Similar Phone Finder
#15Re: Show HN: Similar Phone Finder
#16Hey want to talk about how you built this phone finder site on Glitch Club? http://glitchclub.com/?glitchnow
Re: Show HN: Similar Phone Finder
#17I assure you, the Lumia 925 is more high end than the Moto G.
Re: Show HN: Similar Phone Finder
#18Re: Show HN: Similar Phone Finder
#19Alternatively you could use the inverse of the covariance matrix as the metric tensor of the properties since there could be quite a few correlations.
Re: Show HN: Similar Phone Finder
#20Your euclidean distance formula is kind of wrong (at least on the site). The units of each term are incompatible so cannot be added together directly, they all should be normalized with a weight factor. A sensible weight factor would be the inverse of the standard deviation of the specific term. Alternatively you could use the inverse of the covariance matrix as the metric tensor of the properties since there could b…