Google Panda is a major change to Google's search results ranking algorithm that was first released in February 2011. The change aimed to lower the rank of "low-quality sites" or "thin sites", [1] in particular "content farms", [2] and return higher-quality sites near the top of the search results.
CNET reported a surge in the rankings of news websites and social networking sites, and a drop in rankings for sites containing large amounts of advertising. [3] This change reportedly affected the rankings of almost 12 percent of all search results. [4] Soon after the Panda rollout, many websites, including Google's webmaster forum, became filled with complaints of scrapers/copyright infringers getting better rankings than sites with original content. At one point, Google publicly asked for data points to help detect scrapers better. [5] In 2016, Matt Cutts, Google's head of webspam at the time of the Panda update, commented that "with Panda, Google took a big enough revenue hit via some partners that Google actually needed to disclose Panda as a material impact on an earnings call. But I believe it was the right decision to launch Panda, both for the long-term trust of our users and for a better ecosystem for publishers." [2]
Google's Panda received several updates after the original rollout in February 2011, and their effect went global in April 2011. To help affected publishers, Google provided an advisory on its blog, [6] thus giving some direction for self-evaluation of a website's quality. Google has provided a list of 23 bullet points on its blog answering the question of "What counts as a high-quality site?" that is supposed to help webmasters "step into Google's mindset". [7] It has been incorporated in Google's core algorithm since 2015. [8]
The name "Panda" comes from Google engineer Navneet Panda, who developed the technology that made it possible for Google to create and implement the algorithm. [9] [4]
The Google Panda patent (patent 8,682,892), filed on September 28, 2012, was granted on March 25, 2014. The patent states that Google Panda creates a ratio with a site's inbound links, and reference queries, search queries for the site's brand. That ratio is then used to create a sitewide modification factor. The sitewide modification factor is then used to create a modification factor for a page based upon a search query. If the page fails to meet a certain threshold, the modification factor is applied and, therefore, the page would rank lower in the search engine results page. [10]
After the rollout of the Google Panda update, there was a significant reshuffling in search rankings, with news and social networking sites experiencing a surge while heavily-advertised sites saw a decline, affecting nearly 12 percent of search results, as reported by CNET Google Panda affected the ranking of an entire site or a specific section, rather than just the individual pages on a site. [11]
For the first two years, Google Panda's updates were rolled out about once a month, but Google stated in March 2013 that future updates would be integrated into the algorithm and would therefore be continuous and less noticeable. [12] [13]
Google released a "slow rollout" of Panda 4.2 starting on July 18, 2015. [14]
Google Search is a search engine operated by Google. It allows users to search for information on the Internet by entering keywords or phrases. Google Search uses algorithms to analyze and rank websites based on their relevance to the search query. It is the most popular search engine worldwide.
Spamdexing is the deliberate manipulation of search engine indexes. It involves a number of methods, such as link building and repeating unrelated phrases, to manipulate the relevance or prominence of resources indexed in a manner inconsistent with the purpose of the indexing system.
Search engine optimization (SEO) is the process of improving the quality and quantity of website traffic to a website or a web page from search engines. SEO targets unpaid traffic rather than direct traffic or paid traffic. Unpaid traffic may originate from different kinds of searches, including image search, video search, academic search, news search, and industry-specific vertical search engines.
On the World Wide Web, a link farm is any group of websites that all hyperlink to other sites in the group for the purpose of increasing SEO rankings. In graph theoretic terms, a link farm is a clique. Although some link farms can be created by hand, most are created through automated programs and services. A link farm is a form of spamming the index of a web search engine. Other link exchange systems are designed to allow individual websites to selectively exchange links with other relevant websites, and are not considered a form of spamdexing.
The terms Google bombing and Googlewashing refer to the practice of causing a website to rank highly in web search engine results for irrelevant, unrelated or off-topic search terms by linking heavily. In contrast, search engine optimization (SEO) is the practice of improving the search engine listings of web pages for relevant search terms.
A metasearch engine is an online information retrieval tool that uses the data of a web search engine to produce its own results. Metasearch engines take input from a user and immediately query search engines for results. Sufficient data is gathered, ranked, and presented to the users.
The anchor text, link label, or link text is the visible, clickable text in an HTML hyperlink. The term "anchor" was used in older versions of the HTML specification for what is currently referred to as the a element, or <a>
. The HTML specification does not have a specific term for anchor text, but refers to it as "text that the a element wraps around". In XML terms, the anchor text is the content of the element, provided that the content is text.
Keyword stuffing is a search engine optimization (SEO) technique, considered webspam or spamdexing, in which keywords are loaded into a web page's meta tags, visible content, or backlink anchor text in an attempt to gain an unfair rank advantage in search engines. Keyword stuffing may lead to a website being temporarily or permanently banned or penalized on major search engines. The repetition of words in meta tags may explain why many search engines no longer use these tags. Nowadays, search engines focus more on the content that is unique, comprehensive, relevant, and helpful that overall makes the quality better which makes keyword stuffing useless, but it is still practiced by many webmasters.
Local search is the use of specialized Internet search engines that allow users to submit geographically constrained searches against a structured database of local business listings. Typical local search queries include not only information about "what" the site visitor is searching for but also "where" information, such as a street address, city name, postal code, or geographic coordinates like latitude and longitude. Examples of local searches include "Hong Kong hotels", "Manhattan restaurants", and "Dublin car rental". Local searches exhibit explicit or implicit local intent. A search that includes a location modifier, such as "Bellevue, WA" or "14th arrondissement", is an explicit local search. A search that references a product or service that is typically consumed locally, such as "restaurant" or "nail salon", is an implicit local search.
A scraper site is a website that copies content from other websites using web scraping. The content is then mirrored with the goal of creating revenue, usually through advertising and sometimes by selling user data.
A search engine is a software system that provides hyperlinks to web pages and other relevant information on the Web in response to a user's query. The user inputs a query within a web browser or a mobile app, and the search results are often a list of hyperlinks, accompanied by textual summaries and images. Users also have the option of limiting the search to a specific type of results, such as images, videos, or news.
Google Personalized Search is a personalized search feature of Google Search, introduced in 2004. All searches on Google Search are associated with a browser cookie record. When a user performs a search, the search results are not only based on the relevance of each web page to the search term, but also on which websites the user visited through previous search results. This provides a more personalized experience that can increase the relevance of the search results for the particular user. Such filtering may also have side effects, such as the creation of a filter bubble.
In the field of search engine optimization (SEO), link building describes actions aimed at increasing the number and quality of inbound links to a webpage with the goal of increasing the search engine rankings of that page or website. Briefly, link building is the process of establishing relevant hyperlinks to a website from external sites. Link building can increase the number of high-quality links pointing to a website, in turn increasing the likelihood of the website ranking highly in search engine results. Link building is also a proven marketing tactic for increasing brand awareness.
PageRank (PR) is an algorithm used by Google Search to rank web pages in their search engine results. It is named after both the term "web page" and co-founder Larry Page. PageRank is a way of measuring the importance of website pages. According to Google:
PageRank works by counting the number and quality of links to a page to determine a rough estimate of how important the website is. The underlying assumption is that more important websites are likely to receive more links from other websites.
Yandex Search is a search engine owned by the company Yandex, based in Russia. In January 2015, Yandex Search generated 51.2% of all of the search traffic in Russia according to LiveInternet.
Google Penguin is a codename for a Google algorithm update that was first announced on April 24, 2012. The update was aimed at decreasing search engine rankings of websites that violate Google's Webmaster Guidelines by using now declared Grey Hat SEM techniques involved in increasing artificially the ranking of a webpage by manipulating the number of links pointing to the page. Such tactics are commonly described as link schemes. According to Google's John Mueller, as of 2013, Google announced all updates to the Penguin filter to the public.
Google Search, offered by Google, is the most widely used search engine on the World Wide Web as of 2023, with over eight billion searches a day. This page covers key events in the history of Google's search service.
Google Pigeon is the code name given to one of Google's local search algorithm updates. This update was released on July 24, 2014. It is aimed to increase the ranking of local listings in a search.
Mobilegeddon is a name for Google's search engine algorithm update of April 21, 2015. The term was coined by Chuck Price in a post written for Search Engine Watch on March 9, 2015. The term was then adopted by webmasters and web-developers.
The domain authority of a website describes its relevance for a specific subject area or industry. Domain Authority is a search engine ranking score developed by Moz. This relevance has a direct impact on its ranking by search engines, trying to assess domain authority through automated analytic algorithms. The relevance of domain authority on website-listing in the Search Engine Results Page (SERPs) of search engines led to the birth of a whole industry of Black-Hat SEO providers, trying to feign an increased level of domain authority. The ranking by major search engines, e.g., Google’s PageRank is agnostic of specific industry or subject areas and assesses a website in the context of the totality of websites on the Internet. The results on the SERP page set the PageRank in the context of a specific keyword. In a less competitive subject area, even websites with a low PageRank can achieve high visibility in search engines, as the highest ranked sites that match specific search words are positioned on the first positions in the SERPs.
{{cite web}}
: CS1 maint: numeric names: authors list (link)