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The "Hummingbird" update was the first major update to Google's search algorithm since the 2010 "Caffeine" search architecture upgrade, but even that was limited primarily to improving the indexing of information rather than sorting through information. [3]
The Latest Google Algorithm Updates: Here's Who's Winning & Losing (& How the "Losers" Can Recover) As a CMS that works with so many websites across multiple industries, from media organizations ...
Search algorithm update: Google updated its algorithm to penalize websites that provided a bad experience to users. The update is prompted by a November 26 New York Times story about a fraudulent company called DecorMyEyes that used the publicity generated by negative customer reviews to rise in the search engine rankings. [10] [71] [72] 2010 ...
Google Penguin is a codename [1] 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 [2] 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.
Brotli is a lossless data compression algorithm developed by Google. It uses a combination of the general-purpose LZ77 lossless compression algorithm, Huffman coding and 2nd-order context modelling. Brotli is primarily used by web servers and content delivery networks to compress HTTP content, making internet websites load faster.
On October 25, 2019, Google announced that they had started applying BERT models for English language search queries within the US. [27] On December 9, 2019, it was reported that BERT had been adopted by Google Search for over 70 languages. [28] [29] In October 2020, almost every single English-based query was processed by a BERT model. [30]
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.
In 2019 October, Google started using BERT to process search queries. [34] In 2020, Google Translate replaced the previous RNN-encoder–RNN-decoder model by a Transformer-encoder–RNN-decoder model. [35] Starting in 2018, the OpenAI GPT series of decoder-only Transformers became state of the art in natural language generation.