Gary Illyes Says Ranking Do Not Place During Indexing

DYK people often think ranking takes place during indexing, but the index is only a storage. Ranking actually happens during serving.

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Report: Google Search Share Slips Below 90% In The UK In October Month

Only 89.33% of internet searches in the UK were conducted on Google sites last month,according to Experian Hitwise. It’s the first time in the last five years that Google search market share in the UK has ever dipped below 90%.

While Google’s share dropped, other players — especially Microsoft’s Bing — picked up market share. Bing grew to encompass 4.71% of all searches, which was a 2012 peak for the engine. Experian Hitwise suspects that October’s launch of Windows 8 — which uses Bing as the default search engine — may have been a factor in Bing’s share increase.

Read More: http://searchengineland.com/study-google-search-share-slips-below-90-in-the-uk-in-october-139051

Google Says: A Single Tweak Won't Boost Your Search Rankings

When it comes to search rankings, most people who think about it feel there is an easy way to get those rankings. In short, they feel they make a tweak and bam, their rankings go through the roof. When it doesn't happen, they feel that they are missing out on a silver/magic bullet.

Google's John Mueller said in a Google Webmaster Help thread that there often isn't a magic bullet. That often a single tweak made to a web site will not lead to significant ranking changes for the better. John explained that there are hundreds of ranking factors, so making a small tweak won't likely lead to increased rankings.

Read more: http://www.seroundtable.com/google-magic-bullet-15903.html

Google Update Still Brewing: Penguin? Panda?

I've been trying, trying hard, to get Google to give me a statement. Normally they respond within 24 hours with a yay or nay on my question if there is a Google update. I've emailed them three times and no word back.

This morning, I am seeing another surge in SEO and Webmaster chatter around a possible Google update. The chatter is coming from two WebmasterWorldthreads and the uptick in communication around this started late last night and early this morning.

Just to bring you up to speed. A week ago today, we reported on update rumors, which Google has not confirmed or denied. On Tuesday, we provided an update on those search results fluctuations and emailed Google again, with no response. This morning, I am seeing even more speculation and emailed Google early this morning asking again for a response. So far, nothing.

So either the Google PR team is on vacation, the Google PR team hates me, or something is going on but they cannot comment.

I suspect that yes, they Google PR team hates me (hate is a strong word), but also yes, something is going on, they are testing things and a full roll out is about to happen.

I suspect a Penguin refresh. We are expecting the next Penguin update to be jarring and jolting and we know we hadn't had a major refresh in over three months, since thePenguin 1.1 update.

I can be wrong, I am often wrong, but something big is coming and I feel it in my bones.

Source: http://www.seroundtable.com/google-update-september-15664.html

Google+: People Related To In Search Results

This morning, Google added yet another Google+ in your face feature to the Google search results.

Search for a topic, such as [seo], [running], [apple], [social media] and so on, Google will show "people related to" that topic on the right hand side of the page but only if they are on Google+ I believe.

Give it a try yourself for any topic you think would match.

This is an extension of the knowledge graph to generated more queries and maybe a more useful search experience around social profiles.

Google has not yet announced this but with the push of actively discussed and share on Google+ in the search results, this doesn't surprise me.

Forum discussion at Twitter & Google+.

Source: http://www.seroundtable.com/google-people-related-to-15491.html

Google Search quality highlights: 40 major changes for February

Here’s the list for February:

• 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.
• 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.
• 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.
• 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.
• 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].
• 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.
• 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.
• 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.
• 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.
• “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.
• 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.
• Interval based history tracking for indexing. [project codename “Intervals”] This improvement changes the signals we use in document tracking algorithms. 
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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).
• 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.
• 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.
• 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.
• 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.
• 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. 
• 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.
• 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.
• 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.
• 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.
• 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.
• Panda update. This launch refreshes data in the Panda system, making it more accurate and more sensitive to recent changes on the web.
• 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.
• 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.
• Spam update. In the process of investigating some potential spam, we found and fixed some weaknesses in our spam protections.
• 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.

Source: http://insidesearch.blogspot.in/2012/02/search-quality-highlights-40-changes.html

Google loses ground to Bing and Ask in November 2011

The latest UK search engine market share stats for November 2011 have been published by Experian Hitwise.

For the four weeks ending 5th November 2011, Hitwise revealed that Google.com and Google.co.uk achieved a combined total of 90.57 per cent of search volume. This is down slightly on its October 2011 search engine market share, continuing the dip from September. However, since March the search giant has been used for over 90 per cent of UK searches. During this time Google has made an effort to improve the quality of search results for users with the Panda algorithm change, and more recently, a freshness algorithm update.

Microsoft's Bing search engine received 3.85 per cent of search volume, a 0.15 per cent improvement on last month, staying almost consistent since August. Ask has also improved to 1.76 per cent of search volume, showing a slow but steady improvement over the last six months. However, things are looking as grim as ever for Yahoo; the search engine has suffered yet another small drop in search engine market share, taking it to its lowest point since its downward trajectory started in March 2011.

Searches this week

For the week that ended November 5th, Hitwise listed the fastest moving search and social networking terms as 'm5 crash', and 'mariah yeater', who alleges teen heartthrob Justin Bieber fathered her baby. Other trending search terms were Google Easter eggs tilt, askew and do a barrel roll, after the latter was discovered on Thursday.

UK Search Engine	November 2011 share (%)	October 2011 share (%)	Change
Google	90.57	90.78	-0.21
Bing	3.85	3.70	+0.15
Yahoo	2.41	2.50	-0.09
Ask	1.76	1.59	+0.17
Others	1.41	1.43	-0.02

Source: http://theeword.co.uk/seo-manchester/google_down_in_uk_search_engine_market_share_stats.html

Twenga is planning EC complaint against Google

French e-commerce website Twenga plans to lodge a complaint against Google with the European Commission for abuse of dominant position, La Tribune reports. Twenga lost 36 percent of its audience between September 2010, when Google brought its Panda algorithm to France, and July 2011, according to ComScore figures. It was also severely affected by the introduction of the Google Shopping price comparison service. Twenga told La Tribune that it was forced to cut 43 jobs out of 130 in France and the UK this summer, then to shut down its office in China. In February 2010, the EC launched an investigation into similar competition concerns at Google following complaints from UK price comparison site Foundem, French legal search engine ejustice.fr and Microsoft's Ciao!

Source: http://www.telecompaper.com/news/twenga-plans-ec-complaint-against-google