• insidesearch.blogspot.ca/2012/02/17-search-quality-highlights-january.html
• insidesearch.blogspot.ca/2012/02/search-quality-highlights-40-changes.html
• insidesearch.blogspot.ca/2012/04/search-quality-highlights-50-changes.html
• insidesearch.blogspot.ca/2012/05/search-quality-highlights-53-changes.html
• insidesearch.blogspot.ca/2012/06/search-quality-highlights-39-changes.html
• insidesearch.blogspot.ca/2012/08/search-quality-highlights-86-changes.html
• insidesearch.blogspot.ca/2012/10/search-quality-highlights-65-changes.html

Google Algo Updates for 2012

1. Image Search landing page quality signals. [launch codename “simple”] This is an improvement that analyzes various landing page signals for Image Search. We want to make sure that not only are we showing you the most relevant images, but we are also linking to the highest quality source pages.
2.  More relevant sitelinks. [launch codename “concepts”, project codename “Megasitelinks”] We improved our algorithm for picking sitelinks. The result is more relevant sitelinks; for example, we may show sitelinks specific to your metropolitan region, which you can control with your location setting.
3.  Soft 404 Detection. Web servers generally return the 404 status code when someone requests a page that doesn’t exist. However, some sites are configured to return other status codes, even though the page content might explain that the page was not found. We call these soft 404s (or “crypto” 404s) and they can be problematic for search engines because we aren’t sure if we should ignore the pages. This change is an improvement to how we detect soft 404s, especially in Russian, German and Spanish. For all you webmasters out there, the best practice is still to always use the correct response code.
4.  More accurate country-restricted searches. [launch codename “greencr”] On domains other than .com, users have the option to see only results from their particular country. This is a new algorithm that uses several signals to better determine where web documents are from, improving the accuracy of this feature.
5.  More rich snippets. We improved our process for detecting sites that qualify for shopping, recipe and review rich snippets. As a result, you should start seeing more sites with rich snippets in search results.
6.  Better infrastructure for autocomplete. This is an infrastructure change to improve how our autocomplete algorithm handles spelling corrections for query prefixes (the beginning part of a search).
7.  Better spam detection in Image Search. [launch codename “leaf”] This change improves our spam detection in Image Search by extending algorithms we already use for our main search results.
8.  Google Instant enhancements for Japanese. For languages that use non-Latin characters, many users use a special IME (Input Method Editor) to enter queries. This change works with browsers that are IME-aware to better handle Japanese queries in Google Instant.
9.  More accurate byline dates. [launch codename “foby”] We made a few improvements to how we determine what date to associate with a document. As a result, you’ll see more accurate dates annotating search results.
10.  Live results for NFL and college football. [project codename “Live Results”] We’ve added new live results for NFL.com and ESPN’s NCAA Football results. These results now provide the latest scores, schedules and standings for your favorite football teams.
11.  Improved dataset for related queries. We are now using an improved dataset on term relationships to find related queries. We sometimes include results for queries that are related to your original search, and this improvement leads to results from more relevant related queries.
12.  Related query improvements. [launch codename “lyndsy”] Sometimes we fetch results for queries that are related to the original query but have fewer words. We made several changes to our algorithms to make them more conservative and less likely to introduce results without query words.
13.  Better lyrics results. [launch codename “baschi”, project codename “Contra”] This change improves our result quality for lyrics searches.
14.  Tweak to +1 button on results page. As part of our continued effort to deliver a beautifully simple user experience across Google products, we’ve made a subtle tweak to how the +1 button appears on the results page. Now the +1 button will only appear when you hover over a result or when the result has already been +1’d.
15. Better spell correction in Vietnamese. [project codename “Pho Viet”] We launched a new Vietnamese spelling model. This will help give more accurate spelling predictions for Vietnamese queries.
16. Upcoming events at venues. We've improved the recently released places panel for event venues. For major venues, we now show up to three upcoming events on the right of the page. Try it for [staples center los angeles] or [paradise rock club boston].
17. Improvements to image size signal. [launch codename “matter”] This is an improvement to how we use the size of images as a ranking signal in Image Search. With this change, you’ll tend to see images with larger full-size versions.
18. Improved Hebrew synonyms. [launch codename “SweatNovember”, project codename “Synonyms”] This update refines how we handle Hebrew synonyms across multiple languages. Context matters a lot for translation, so this change prevents us from using translated synonyms that are not actually relevant to the query context.
19. Safer searching. [launch codename “Hoengg”, project codename "SafeSearch"] We updated our SafeSearch tool to provide better filtering for certain queries when strict SafeSearch is enabled.
20. Encrypted search available on new regional domains. Google now offers encrypted search by default on google.com for signed-in users, but it’s not the default on our other regional domains (eg: google.fr for France). Now users in the UK, Germany and France can opt in to encrypted search by navigating directly to an SSL version of Google Search on their respective regional domains: https://www.google.co.uk, https://www.google.de and https://www.google.fr.
21.  Faster mobile browsing. [launch codename “old possum”, project codename “Skip Redirect”] Many websites redirect smartphone users to another page that is optimized for smartphone browsers. This change uses the final smartphone destination url in our mobile search results, so you can bypass all the redirects and load the target page faster.
22. Search + Your World - January 10, 2012 - Google announced a radical shift in personalization - aggressively pushing Google+ social data and user profiles into SERPs with their Search + Your World announcement. Google also added a new, prominent toggle button to shut off personalization.
23. Panda 3.2 - January 18, 2012 - Google confirmed a Panda data update, although suggested that the algorithm hadn't changed.
24. Too Many Ads Above The Fold - January 19, 2012 - Google updated their page layout algorithms to devalue sites with too much ad-space above the "fold". It had been suspected that a similar factor was in play in Panda. In fact we did see this with some sites with the initial Panda algorithm update.
25. Fresher results. [launch codename “nftc”] We made several adjustments to the freshness algorithm that we released in November. These are minor updates to make sure we continue to give you the freshest, most relevant results.
26. Faster autocomplete. [launch codename “Snappy Suggest”, project codename “Suggest”] We made improvements to our autocomplete system to deliver your predicted queries much faster.
27. Autocomplete spelling corrections. [launch codename “Trivial”, project codename “Suggest”] This is an improvement to the spelling corrections used in autocomplete, making those corrections more consistent with the spelling corrections used in search. This launch targets corrections where the spelling change is very small.
28. Better spelling full-page replacement. [launch codenames “Oooni”, “sgap”, project codename “Full-Page Replacement”] When we’re confident in a spelling correction we automatically show results for the corrected query and let you know we’re “Showing results for [cheetah]” (rather than, say, “cheettah”). We made a couple of changes to improve the accuracy of this feature.
29. Better spelling corrections for rare queries. This change improves one of the models that we use to make spelling corrections. The result is more accurate spell corrections for a number of rare queries.
30. Improve detection of recurrent event pages. [launch codename “neseda”] We made several improvements to how we determine the date of a document. As a result, you’ll see fresher, more timely results, particularly for pages discussing recurring events.
31. High-quality sites algorithm improvements. [launch codenames “PPtl” and “Stitch”, project codename “Panda”] In 2011, we launched the Panda algorithm change, targeted at finding more high-quality sites. We improved how Panda interacts with our indexing and ranking systems, making it more integrated into our pipelines. We also released a minor update to refresh the data for Panda.
32. Cross-language refinements. [launch codename Xiangfan] Previously, we only generated related searches based on the display language. With this change, we also attempt to auto-detect the language of the original query to generate related search queries. Now, a user typing a query in French might see French query refinements, even if her language is set to English.
33. English on Google Saudi Arabia. Users in Saudi Arabia can now more easily choose an English interface to search on google.com.sa.
34. Improved scrolling for Image Search. Previously when you scrolled in Image Search, only the image results would move while the top and side menus were pinned in place. We changed the scrolling behavior to make it consistent with our main search results and the other search modes, where scrolling moves the entire page.
35. Improved image search quality. [launch codename “endearo”, project codename “Image Search”] This is a small improvement to our image search ranking algorithm. In particular, this change helps images with high-quality landing pages rank higher in our image search results.
36. More relevant related searches. Sometimes at the bottom of the screen you’ll see a section called “Searches related to” with other queries you may want to try. With this change, we’ve updated the model for generating related searches, resulting in more useful query refinements.
37. Blending of news results. [launch codename “final-destination”, project codename “Universal Search”] We improved our algorithm that decides which queries should show news results, making it more responsive to realtime trends. We also made an adjustment to how we blend news results in Universal Search. Both of these changes help news articles appear in your search results when they are relevant.
38. Automatically disable Google Instant based on computer speed. [project codename “Psychic Search”] Google Instant has long had the ability to automatically turn itself off if you’re on a slow internet connection. Now Instant can also turn itself off if your computer is slow. If Instant gets automatically disabled, we continue to check your computer speed and will re-enable Instant if your performance improves. We’ve also tweaked search preferences so you can always have Instant on or off, or have it change automatically.
39. Venice Update - February 27, 2012? - As part of their monthly updates, Google mentioned an update code-name "Venice". This local update appeared to more aggressively localize organic results and more tightly integrate local search data.
40. More coverage for related searches. [launch codename “Fuzhou”] This launch brings in a new data source to help generate the “Searches related to” section, increasing coverage significantly so the feature will appear for more queries. This section contains search queries that can help you refine what you’re searching for.
41. Tweak to categorizer for expanded sitelinks. [launch codename “Snippy”, project codename “Megasitelinks”] This improvement adjusts a signal we use to try and identify duplicate snippets. We were applying a categorizer that wasn’t performing well for our expanded sitelinks, so we’ve stopped applying the categorizer in those cases. The result is more relevant sitelinks.
42. Less duplication in expanded sitelinks. [launch codename “thanksgiving”, project codename “Megasitelinks”] We’ve adjusted signals to reduce duplication in the snippets for expanded sitelinks. Now we generate relevant snippets based more on the page content and less on the query.
43. More consistent thumbnail sizes on results page. We’ve adjusted the thumbnail size for most image content appearing on the results page, providing a more consistent experience across result types, and also across mobile and tablet. The new sizes apply to rich snippet results for recipes and applications, movie posters, shopping results, book results, news results and more.
44. More locally relevant predictions in YouTube. [project codename “Suggest”] We’ve improved the ranking for predictions in YouTube to provide more locally relevant queries. For example, for the query [lady gaga in ] performed on the US version of YouTube, we might predict [lady gaga in times square], but for the same search performed on the Indian version of YouTube, we might predict [lady gaga in India].
45. More accurate detection of official pages. [launch codename “WRE”] We’ve made an adjustment to how we detect official pages to make more accurate identifications. The result is that many pages that were previously misidentified as official will no longer be.
46. Refreshed per-URL country information. [Launch codename “longdew”, project codename “country-id data refresh”] We updated the country associations for URLs to use more recent data.
47. Expand the size of our images index in Universal Search. [launch codename “terra”, project codename “Images Universal”] We launched a change to expand the corpus of results for which we show images in Universal Search. This is especially helpful to give more relevant images on a larger set of searches.
48. Minor tuning of autocomplete policy algorithms. [project codename “Suggest”] We have a narrow set of policies for autocomplete for offensive and inappropriate terms. This improvement continues to refine the algorithms we use to implement these policies.
49. “Site:” query update [launch codename “Semicolon”, project codename “Dice”] This change improves the ranking for queries using the “site:” operator by increasing the diversity of results.
50. Improved detection for SafeSearch in Image Search. [launch codename "Michandro", project codename “SafeSearch”] This change improves our signals for detecting adult content in Image Search, aligning the signals more closely with the signals we use for our other search results.
51. Interval based history tracking for indexing. [project codename “Intervals”] This improvement changes the signals we use in document tracking algorithms. 
52. Improvements to foreign language synonyms. [launch codename “floating context synonyms”, project codename “Synonyms”] This change applies an improvement we previously launched for English to all other languages. The net impact is that you’ll more often find relevant pages that include synonyms for your query terms.
53. Disabling two old fresh query classifiers. [launch codename “Mango”, project codename “Freshness”] As search evolves and new signals and classifiers are applied to rank search results, sometimes old algorithms get outdated. This improvement disables two old classifiers related to query freshness.
54. More organized search results for Google Korea. [launch codename “smoothieking”, project codename “Sokoban4”] This significant improvement to search in Korea better organizes the search results into sections for news, blogs and homepages.
55. Fresher images. [launch codename “tumeric”] We’ve adjusted our signals for surfacing fresh images. Now we can more often surface fresh images when they appear on the web.
56. Update to the Google bar. [project codename “Kennedy”] We continue to iterate in our efforts to deliver a beautifully simple experience across Google products, and as part of that this month we made further adjustments to the Google bar. The biggest change is that we’ve replaced the drop-down Google menu in the November redesign with a consistent and expanded set of links running across the top of the page.
57. Adding three new languages to classifier related to error pages. [launch codename "PNI", project codename "Soft404"] We have signals designed to detect crypto 404 pages (also known as “soft 404s”), pages that return valid text to a browser but the text only contain error messages, such as “Page not found.” It’s rare that a user will be looking for such a page, so it’s important we be able to detect them. This change extends a particular classifier to Portuguese, Dutch and Italian.
58. Improvements to travel-related searches. [launch codename “nesehorn”] We’ve made improvements to triggering for a variety of flight-related search queries. These changes improve the user experience for our Flight Search feature with users getting more accurate flight results.
59. Data refresh for related searches signal. [launch codename “Chicago”, project codename “Related Search”] One of the many signals we look at to generate the “Searches related to” section is the queries users type in succession. If users very often search for [apple] right after [banana], that’s a sign the two might be related. This update refreshes the model we use to generate these refinements, leading to more relevant queries to try.
60. International launch of shopping rich snippets. [project codename “rich snippets”] Shopping rich snippets help you more quickly identify which sites are likely to have the most relevant product for your needs, highlighting product prices, availability, ratings and review counts. This month we expanded shopping rich snippets globally (they were previously only available in the US, Japan and Germany).
61. Improvements to Korean spelling. This launch improves spelling corrections when the user performs a Korean query in the wrong keyboard mode (also known as an "IME", or input method editor). Specifically, this change helps users who mistakenly enter Hangul queries in Latin mode or vice-versa.
62. Improvements to freshness. [launch codename “iotfreshweb”, project codename “Freshness”] We’ve applied new signals which help us surface fresh content in our results even more quickly than before.
63. Web History in 20 new countries. With Web History, you can browse and search over your search history and webpages you've visited. You will also get personalized search results that are more relevant to you, based on what you’ve searched for and which sites you’ve visited in the past. In order to deliver more relevant and personalized search results, we’ve launched Web History in Malaysia, Pakistan, Philippines, Morocco, Belarus, Kazakhstan, Estonia, Kuwait, Iraq, Sri Lanka, Tunisia, Nigeria, Lebanon, Luxembourg, Bosnia and Herzegowina, Azerbaijan, Jamaica, Trinidad and Tobago, Republic of Moldova, and Ghana. Web History is turned on only for people who have a Google Account and previously enabled Web History.
64. Improved snippets for video channels. Some search results are links to channels with many different videos, whether on mtv.com, Hulu or YouTube. We’ve had a feature for a while now that displays snippets for these results including direct links to the videos in the channel, and this improvement increases quality and expands coverage of these rich “decorated” snippets. We’ve also made some improvements to our backends used to generate the snippets.
65. Improvements to ranking for local search results. [launch codename “Venice”] This improvement improves the triggering of Local Universal results by relying more on the ranking of our main search results as a signal. 
66. Improvements to English spell correction. [launch codename “Kamehameha”] This change improves spelling correction quality in English, especially for rare queries, by making one of our scoring functions more accurate.
67. Improvements to coverage of News Universal. [launch codename “final destination”] We’ve fixed a bug that caused News Universal results not to appear in cases when our testing indicates they’d be very useful.
68. Consolidation of signals for spiking topics. [launch codename “news deserving score”, project codename “Freshness”] We use a number of signals to detect when a new topic is spiking in popularity. This change consolidates some of the signals so we can rely on signals we can compute in realtime, rather than signals that need to be processed offline. This eliminates redundancy in our systems and helps to ensure we can continue to detect spiking topics as quickly as possible.
69. Better triggering for Turkish weather search feature. [launch codename “hava”] We’ve tuned the signals we use to decide when to present Turkish users with the weather search feature. The result is that we’re able to provide our users with the weather forecast right on the results page with more frequency and accuracy.
70. Visual refresh to account settings page. We completed a visual refresh of the account settings page, making the page more consistent with the rest of our constantly evolving design.
71. Panda update. This launch refreshes data in the Panda system, making it more accurate and more sensitive to recent changes on the web.
72. Link evaluation. We often use characteristics of links to help us figure out the topic of a linked page. We have changed the way in which we evaluate links; in particular, we are turning off a method of link analysis that we used for several years. We often rearchitect or turn off parts of our scoring in order to keep our system maintainable, clean and understandable.
73. SafeSearch update. We have updated how we deal with adult content, making it more accurate and robust. Now, irrelevant adult content is less likely to show up for many queries.
74. Spam update. In the process of investigating some potential spam, we found and fixed some weaknesses in our spam protections.
75. Improved local results. We launched a new system to find results from a user’s city more reliably. Now we’re better able to detect when both queries and documents are local to the user.
76. Panda 3.3 - February 27, 2012 - Google rolled out another Panda update, which appeared to be relatively minor. This came just 3 days after the 1-year anniversary of Panda, an unprecedented lifespan for a named update.
77. Panda 3.4 - March 23, 2012 - Google announced another Panda update, this time via Twitter as the update was rolling out. It was estimated that Panda 3.4 impacted about 1.6% of search results.
78. Autocomplete with math symbols. [launch codename "Blackboard", project codename "Suggest"] When we process queries to return predictions in autocomplete, we generally normalize them to match more relevant predictions in our database. This change incorporates several characters that were previously normalized: “+”, “-”, “*”, “/”, “^”, “(“, “)”, and “=”. This should make it easier to search for popular equations, for example [e = mc2] or [y = mx+b].
79. Improvements to handling of symbols for indexing. [launch codename "Deep Maroon"] We generally ignore punctuation symbols in queries. Based on analysis of our query stream, we’ve now started to index the following heavily used symbols: “%”, “$”, “\”, “.”, “@”, “#”, and “+”. We’ll continue to index more symbols as usage warrants.
80. Better scoring of news groupings. [launch codename "avenger_2"] News results on Google are organized into groups that are about the same story. We have scoring systems to determine the ordering of these groups for a given query. This subtle change slightly improves our scoring system, leading to better ranking of news clusters.
81. Sitelinks data refresh. [launch codename "Saralee-76"] Sitelinks (the links that appear beneath some search results and link deeper into the respective site) are generated in part by an offline process that analyzes site structure and other data to determine the most relevant links to show users. We’ve recently updated the data through our offline process. These updates happen frequently (on the order of weeks).
82. Improvements to autocomplete backends, coverage. [launch codename "sovereign", project codename "Suggest"] We’ve consolidated systems and reduced the number of backend calls required to prepare autocomplete predictions for your query. The result is more efficient CPU usage and more comprehensive predictions.
83. Better handling of password changes. Our general approach is that when you change passwords, you’ll be signed out from your account on all machines. This change ensures that changing your password more consistently signs your account out of Search, everywhere.
84. Better indexing of profile pages. [launch codename "Prof-2"] This change improves the comprehensiveness of public profile pages in our index from more than two-hundred social sites.
85. UI refresh for News Universal. [launch codename "Cosmos Newsy", project codename "Cosmos"] We’ve refreshed the design of News Universal results by providing more results from the top cluster, unifying the UI treatment of clusters of different sizes, adding a larger font for the top article, adding larger images (from licensed sources), and adding author information.
86. Improvements to results for navigational queries. [launch codename "IceMan5"] A “navigational query” is a search where it looks like the user is looking to navigate to a particular website, such as [New York Times] or [wikipedia.org]. While these searches may seem straightforward, there are still challenges to serving the best results. For example, what if the user doesn’t actually know the right URL? What if the URL they’re searching for seems to be a parked domain (with no content)? This change improves results for this kind of search.
87. High-quality sites algorithm data update and freshness improvements. [launch codename “mm”, project codename "Panda"] Like many of the changes we make, aspects of our high-quality sites algorithm depend on processing that’s done offline and pushed on a periodic cycle. In the past month, we’ve pushed updated data for “Panda,” as we mentioned in a recent tweet. We’ve also made improvements to keep our database fresher overall.
88. Live results for UEFA Champions League and KHL. We’ve added live-updating snippets in our search results for the KHL (Russian Hockey League) and UEFA Champions League, including scores and schedules. Now you can find live results from a variety of sports leagues, including the NFL, NBA, NHL and others.
89. Tennis search feature. [launch codename "DoubleFault"] We’ve introduced a new search feature to provide realtime tennis scores at the top of the search results page. Try [maria sharapova] or [sony ericsson open].
90. More relevant image search results. [launch codename "Lice"] This change tunes signals we use related to landing page quality for images. This makes it more likely that you’ll find highly relevant images, even if those images are on pages that are lower quality.
91. Fresher image predictions in all languages. [launch codename "imagine2", project codename "Suggest"] We recently rolled out a change to surface more relevant image search predictions in autocomplete in English. This improvement extends the update to all languages.
92. SafeSearch algorithm tuning. [launch codenames "Fiorentini", “SuperDyn”; project codename "SafeSearch"] This month we rolled out a couple of changes to our SafeSearch algorithm. We’ve updated our classifier to make it smarter and more precise, and we’ve found new ways to make adult content less likely to appear when a user isn't looking for it
93. Tweaks to handling of anchor text. [launch codename "PC"] This month we turned off a classifier related to anchor text (the visible text appearing in links). Our experimental data suggested that other methods of anchor processing had greater success, so turning off this component made our scoring cleaner and more robust.
94. Simplification to Images Universal codebase. [launch codename "Galactic Center"] We’ve made some improvements to simplify our codebase for Images Universal and to better utilize improvements in our general web ranking to also provide better image results.
95. Better application ranking and UI on mobile. When you search for apps on your phone, you’ll now see richer results with app icons, star ratings, prices, and download buttons arranged to fit well on smaller screens. You’ll also see more relevant ranking of mobile applications based on your device platform, for example Android or iOS.
96. Improvements to freshness in Video Universal. [launch codename "graphite", project codename "Freshness"] We’ve improved the freshness of video results to better detect stale videos and return fresh content.
97. Fewer undesired synonyms. [project codename "Synonyms"] When you search on Google, we often identify other search terms that might have the same meaning as what you entered in the box (synonyms) and surface results for those terms as well when it might be helpful. This month we tweaked a classifier to prevent unhelpful synonyms from being introduced as content in the results set.
98. Better handling of queries with both navigational and local intent. [launch codename "ShieldsUp"] Some queries have both local intent and are very navigational (directed towards a particular website). This change improves the balance of results we show, and helps ensure you’ll find highly relevant navigational results or local results towards the top of the page as appropriate for your query.
99. Improvements to freshness. [launch codename "Abacus", project codename "Freshness"] We launched an improvement to freshness late last year that was very helpful, but it cost significant machine resources. At the time we decided to roll out the change only for news-related traffic. This month we rolled it out for all queries.
100. Improvements to processing for detection of site quality. [launch codename "Curlup"] We’ve made some improvements to a longstanding system we have to detect site quality. This improvement allows us to get greater confidence in our classifications.
101. Better interpretation and use of anchor text. We’ve improved systems we use to interpret and use anchor text, and determine how relevant a given anchor might be for a given query and website.
102. Better local results and sources in Google News. [launch codename "barefoot", project codename "news search"] We’re deprecating a signal we had to help people find content from their local country, and we’re building similar logic into other signals we use. The result is more locally relevant Google News results and higher quality sources.
103. Deprecating signal related to ranking in a news cluster. [launch codename "decaffeination", project codename "news search”] We’re deprecating a signal that’s no longer improving relevance in Google News. The signal was originally developed to help people find higher quality articles on Google News. (Note: Despite the launch codename, this project has nothing to do with Caffeine, our update to indexing in 2010).
104. Fewer “sibling” synonyms. [launch codename "Gemini", project codename "Synonyms"] One of the main signals we look at to identify synonyms is context. For example, if the word “cat” often appears next to the term “pet” and “furry,” and so does the word “kitten”, our algorithms may guess that “cat” and “kitten” have similar meanings. The problem is that sometimes this method will introduce “synonyms” that actually are different entities in the same category. To continue the example, dogs are also “furry pets” -- so sometimes “dog” may be incorrectly introduced as a synonym for “cat”. We’ve been working for some time to appropriately ferret out these “sibling” synonyms, and our latest system is more maintainable, updatable, debuggable, and extensible to other systems.
105. Better synonym accuracy and performance. [project codename "Synonyms"] We’ve made further improvemen