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The basic idea is to hash the input items so that similar items are mapped to ... Retrieved from "http://en.wikipedia.org/wiki/Locality_sensitive_hashing" ...
http://en.wikipedia.org/wiki/Locality_sensitive_hashing
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The Netflix Prize seeks to substantially improve the accuracy of predictions ... Improve it enough and you win one (or more) Prizes. ...
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This newly expanded and updated second edition continues to take the "mystery" ... maintaining its status as the premier practical reference guide to algorithms ...
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In computer science, a B-tree is a tree data structure that keeps data sorted ... Retrieved from "http://en.wikipedia.org/wiki/B-tree" ...
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Source code for almost all examples and figures in part 2 of the book ... Source code for examples in Chapters 9, 10, and 11 can be found here. Instructors can ...
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How moreofit Searches
Each website has a unique tag signature -- a set of words
that users have described the website as. Moreofit searches
for websites that have similar tag signatures and displays the results.
1: Similarity
A site's "similarity" is determined by how well its tag signature matches the tag
signature that is being searched for. A 100% match means that it has the exact same
tags in the exact same order, while a 0% match means it has no tags in common.
2: Popularity
The popularity of a website is, well, pretty much self explanatory.
3: Tag Signature
The tag signatures show how a site is described. The deeper the color of the tag,
the more frequently the website is tagged as this. Tags underlined blue denote a tag
that is in common with the search's tag signature.
