Google's New Algorithms
Algorithms
For a typical query, there are thousands, if not millions, of webpages with helpful
information. Algorithms are the computer processes and formulas that take your
questions and turn them into answers. Today Google’s algorithms rely on more than 200
unique signals or “clues” that make it possible to guess what you might really be
looking for. These signals include things like the terms on websites, the freshness of
content, your region and PageRank.
Search Projects
There are many components to the search process and the results page, and we’re constantly updating our technologies and systems to deliver better results. Many of these changes involve exciting new innovations, such as the Knowledge Graph or Google Instant. There are other important systems that we constantly tune and refine. This list of projects provides a glimpse into the many different aspects of search.Answers
Displays immediate answers and information for things such as the weather, sports scores and quick facts.Autocomplete
Predicts what you might be searching for. This includes understanding terms with more than one meaning.Books
Finds results out of millions of books, including previews and text, from libraries and publishers worldwide.Freshness
Shows the latest news and information. This includes gathering timely results when you’re searching specific dates.Google Instant
Displays immediate results as you type.Images
Shows you image-based results with thumbnails so you can decide which page to visit from just a glance.Indexing
Uses systems for collecting and storing documents on the web.Knowledge Graph
Provides results based on a database of real world people, places, things, and the connections between them.Mobile
Includes improvements designed specifically for mobile devices, such as tablets and smartphones.News
Includes results from online newspapers and blogs from around the world.Query Understanding
Gets to the deeper meaning of the words you type.Refinements
Provides features like “Advanced Search,” related searches, and other search tools, all of which help you fine-tune your search.SafeSearch
Reduces the amount of adult web pages, images, and videos in your results.Search Methods
Creates new ways to search, including “search by image” and “voice search.”Site & Page Quality
Uses a set of signals to determine how trustworthy, reputable, or authoritative a source is. (One of these signals is PageRank, one of Google’s first algorithms, which looks at links between pages to determine their relevance.)Snippets
Shows small previews of information, such as a page’s title and short descriptive text, about each search result.Spelling
Identifies and corrects possible spelling errors and provides alternatives.Synonyms
Recognizes words with similar meanings.Translation and Internationalization
Tailors results based on your language and country.Universal Search
Blends relevant content, such as images, news, maps, videos, and your personal content, into a single unified search results page.User Context
Provides more relevant results based on geographic region, Web History, and other factors.Videos
Shows video-based results with thumbnails so you can quickly decide which video to watch.The Evolution of Search
Our goal is to get you to the answer you're looking for faster, creating a nearly seamless connection between you and the knowledge you seek. If you’re looking to deepen your understanding of how search has evolved, this video highlights some important features like universal results and quick answers.Experiments: From Idea to Launch
A typical algorithmic change begins as an idea from one of our engineers about how to improve search. We take a data-driven approach and all proposed algorithm changes undergo extensive quality evaluation before release.Engineers typically start by running a series of experiments, tweaking small variables and getting feedback from colleagues until they are satisfied and ready to release the experiment to a larger audience.
Search Quality Rating Guidelines
This document is a version of our Search Quality Rater Guidelines, which gives
evaluators examples and guidelines for appropriate ratings. The document
focuses on a type of rating task called “URL rating.” In this kind of
task, the evaluator looks at a search query and a result that could be returned.
They rate the relevance of the result for that query on a scale described within
the document. Sounds simple, right? As you can see, there are many tricky cases to
think through.
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