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Neat site, thanks for sharing. Here's some constructive feedback for you. * Filter results by eBay category. * Outlier elimination such as excluding "broken"
by slashdotdash 14y ago
Neat site, thanks for sharing. Here's some constructive feedback for you.
* Filter results by eBay category.
* Outlier elimination such as excluding "broken" items (e.g. listings containing commonly used words such as "spares or repair", "cracked screen", "damaged").
* Country specific currency (e.g. for UK searches show the results in GBP, £).
* Predict a fair market value for a given search. Useful when trying to sell items second hand as an "arm's-length transaction".
- jherrick 14y agoGood list. I would also suggested eliminating outlying items based on prices. It seems like when there are dozens of items named XXX, there will be several with "hard drive for XXX" or something. I must believe there's any easy way to eliminate some "outliers" using mathematics, but I can't recall the function(s) to do so.
- SandB0x 14y ago> I must believe there's any easy way to eliminate some "outliers" using mathematics, but I can't recall the function(s) to do so. The median is one good way, as you already have. You can also use the interquartile mean: http://en.wikipedia.org/wiki/Interquartile_mean http://en.wikipedia.org/wiki/Interquartile_mean
- locksley 14y agoAt the moment I'm filtering out items 2 standard deviations out of the median. It catches the ridiculous cases, i.e. when some fool tries to get away with selling an iphone for $6000 (yes I've seen this before). Perhaps I need to filter it within 1 or 1.5 stdevs. Will experiment with this. However, sometimes you can easily see there are two clusters of results. Not sure how to mathematically determine this. Any ideas?
- locksley 14y agoThanks for the feedback! Really appreciate it