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This repository was archived by the owner on Oct 8, 2020. It is now read-only.
We might try to follow the algorithm at http://blog.iconfinder.com/detecting-duplicate-images-using-python/ and detect duplicates amongst our candidate items for display, rejecting those that are a near-duplicate or duplicate of an item which has already been selected.
The problem I forsee with this is that it is going to be VERY slow, mostly because we will have to do the network transfer of all of the images that are going into the set, at minimum 8 images. Also there isn't a great opportunity for caching to save us here because this is done at the level of "exploring" when the user is clicking the "next" button on items. So one user might be looking at results for "ipod black" while another is looking at "little pony".
We might try to follow the algorithm at http://blog.iconfinder.com/detecting-duplicate-images-using-python/ and detect duplicates amongst our candidate items for display, rejecting those that are a near-duplicate or duplicate of an item which has already been selected.
The problem I forsee with this is that it is going to be VERY slow, mostly because we will have to do the network transfer of all of the images that are going into the set, at minimum 8 images. Also there isn't a great opportunity for caching to save us here because this is done at the level of "exploring" when the user is clicking the "next" button on items. So one user might be looking at results for "ipod black" while another is looking at "little pony".