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var application_root = __dirname, | |
express = require("express"), | |
path = require("path"), | |
mongoose = require('mongoose'); | |
var app = express.createServer(); | |
// database | |
mongoose.connect('mongodb://localhost/ecomm_database'); |
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/* | |
Pseudocode of the complete algorithm | |
Twitter : http://twitter.com/thinkphp | |
Website : http://thinkphp.ro | |
Google Plus : http://gplus.to/thinkphp | |
MIT Style License | |
*/ | |
INSERTION-SORT(V) |
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#!/usr/bin/env python | |
# | |
# Copyright 2010 Facebook | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); you may | |
# not use this file except in compliance with the License. You may obtain | |
# a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# |
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How Auto Suggestion Works e.g. How Google Won User's Heart | |
You've seen search engines suggest queries when you begin typing the first few letters of your search string. This is being done by Duck Duck Go as well as Google (to name a few). This is typically done by maintaining | |
a list of past queries and/or important strings that the search engine thinks are worthy of being suggested to a user that is trying to find something similar. These suggestions are effective only if the search engine | |
spits them out very fast since these should show up on the screen before the user has finished typing what he/she wanted to type. Hence the speed with which these suggestions are made is very critical to the usefulness of this feature. | |
Let us consider a situation (and a possible way of approaching this problem) in which when a user enters the first few letters of a search query, he/she is presented with some suggestions that have as their prefix, | |
the string that the user has typed. Furthermore, these suggestions should |