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But is that how a project like Panopticlick calculates "similarity" across bit-vectors? I've no idea about pana-pano, that thing, but ostensibly, it can be as simple as counting the number of matching bits (properties):
For parts/product catalogue type applications, bit-mapped data records can be very effective and efficient, because their attributes tend to have a fixed (and limited) number of values. Ie. Half a dozen colors; half a dozen sizes; 2 or 3 finishes; etc. That means each choice can be represented by a bit position in a vector. Selection can be extremely fast. With the rise and rise of 'Social' network sites: 'Computers are making people easier to use everyday'
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In reply to Re: What is the best way to store and look-up a "similarity vector"?
by BrowserUk
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