By Haralambos Marmanis, Dmitry Babenko
Web 2.0 purposes offer a wealthy consumer event, however the elements you can't see are only as important-and striking. They use robust strategies to technique info intelligently and supply gains in keeping with styles and relationships in information. Algorithms of the clever internet exhibits readers the way to use an analogous suggestions hired by means of family names like Google advert feel, Netflix, and Amazon to rework uncooked facts into actionable information.
Algorithms of the clever internet is an example-driven blueprint for growing purposes that acquire, learn, and act at the sizeable amounts of information clients depart of their wake as they use the internet. Readers discover ways to construct Netflix-style suggestion engines, and the way to use an analogous recommendations to social-networking websites. See how click-trace research may end up in smarter advert rotations. all of the examples are designed either to be reused and to demonstrate a common procedure- an algorithm-that applies to a vast variety of scenarios.
As they paintings throughout the book's many examples, readers find out about advice structures, seek and score, automated grouping of comparable gadgets, category of gadgets, forecasting types, and independent brokers. in addition they get to grips with lots of open-source libraries and SDKs, and freely on hand APIs from the most well liked websites on the web, resembling fb, Google, eBay, and Yahoo.
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Additional info for Algorithms of the Intelligent Web
We loop over the first n results and collect them in the form of our own SearchResult objects. Note that Lucene’s Hits object contains only references to the underlying documents. get("url") will return the URL that we stored in the index. The relevance score for each retrieved document is recorded. This score is a number between 0 and 1. Those elements constitute the mechanics of our specific implementation. Let’s take a step back and view the bigger picture of conducting searches based on indexing.
We’ll use a number of pages that we collected on November 6, 2006, so we can modify them in a controlled fashion and observe the effect of these changes in the results of the algorithms. These pages have been cleaned up and changed to form a tiny representation of the internet. You can find these pages under the data/ch02/ directory. It’s important to know the content of these documents, so that you can appreciate what the algorithms do and understand how they work. com> Searching with Lucene ■ ■ ■ ■ 23 Seven documents related to business news; three are related to Google’s expansion into newspaper advertisement, another three discuss primarily about the NVidia stock, and one about stock price and index movements.
Com> 12 CHAPTER 1 What is the intelligent web? This list is, of course, incomplete but it’s indicative of the possibilities. If the answer to any of these questions is yes, your application can benefit greatly from the techniques that we’ll describe in the rest of the book. Let’s consider the common use case of searching through the data of an imaginary application. Nearly all applications allow their users to search their site. Let’s say that our imaginary application allows its users to purchase different kinds of items based on a catalog list.