MicrostockGroup
Agency Based Discussion => Shutterstock.com => Topic started by: leaf on May 26, 2011, 14:00
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Ok, I thought that Shutterstock best match was a 'simple' downloads per day equation .. or at least that each image would have one 'ranking' value, however the downloads/day value was figured out, and that ranking value would apply to all searches that images showed up in.
When looking at a couple searches however, such as horse and stallion, here are the results
Search: Horse
Position #2
(http://thumb11.shutterstock.com/thumb_small/8334/8334,1179589993,2/stock-photo-black-horse-3332059.jpg)
Position #8
(http://thumb9.shutterstock.com/thumb_small/373333/373333,1275683818,1/stock-photo-white-and-black-horses-54540052.jpg)
Search: Stallion
Position #7
(http://thumb9.shutterstock.com/thumb_small/373333/373333,1275683818,1/stock-photo-white-and-black-horses-54540052.jpg)
Position #36
(http://thumb11.shutterstock.com/thumb_small/8334/8334,1179589993,2/stock-photo-black-horse-3332059.jpg)
So you can see that those two images switch order and one moves down a lot in the second search... so obviously the search results are ranked by keyword performance as well. Not sure this proves or concludes anything.. it was just an interesting observation I wasn't aware of before.
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I seem to remember SS announcing that the keywords most commonly used to buy an image were critical in sort-order positioning. It was an enhancement to improve the search results for buyers. That was 2-3 years ago I think.
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I seem to remember Shutterstock announcing that the keywords most commonly used to buy an image were critical in sort-order positioning. It was an enhancement to improve the search results for buyers. That was 2-3 years ago I think.
Well it certainly makes sense to work it that way. I suppose considering that they just released the top search keywords used to buy each of our photos, it is a no brainer that they use those stats in their own back-end.
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Yep, I think they introduced it at about the same time that Istock did.
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It was discussed a bit in this thread http://www.microstockgroup.com/shutterstock-com/ss-now-showing-keywords-used-to-find-images/ (http://www.microstockgroup.com/shutterstock-com/ss-now-showing-keywords-used-to-find-images/)
I think that if you look at images with one sale you can deduce a lot about how they make their best match work. If one term is used, it gets 100% of the keyword weighting for a single sale. If two words are used, each gets 50% of the keyword weighting for a single sale. If a compound term like "central park" is used (presumably in quotes) then 33% of the weighting is given to "central park", 33% to "central" and 33% to "park".