Monday, February 27, 2012
Google - Search quality highlights: 40 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 forexpanded 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.
Sunday, February 26, 2012
St. Patricks day in lewisville
Tilted Kilt Pub and Eatery 1 (972) 316-4591 2290 South Stemmons Freeway, Lewisville, TX 75067 http://m.google.com/u/m/x5XL6v
Friday, February 24, 2012
Dallas Foodies - Foodie Couture --- Zest Fest 2012
Foodie Couture in Dallas, Food Bloggers in Dallas.
Thursday, February 23, 2012
Google Webmaster Central Blog: Handling legitimate cross-domain content
Webmaster level: Intermediate We've recently discussed several ways of handling duplicate content on a single website..
What if it's singular content on multiple websites with an authoritative owner?
What if it's singular content on multiple websites with an authoritative owner?
Wednesday, February 22, 2012
Google 'smart glasses' reportedly launching this year
Just as an Internet connection has made our phones smarter and is in the process of making our TVs smarter, soon your glasses may be smarter too, thanks to a project from Google that could be a breakthrough in wearable computing.
The tech giant's secretive Google X lab is reportedly developing a pair of "smart glasses" that would connect with the Internet, or possibly rely on an Android smartphone to connect with the Web, to offer up information in a heads-up display.
The glasses, which the site 9to5Google reported would look somewhat like the Oakley Thump, would include a built-in camera that records what the wearer is looking at and then uses that feed to find relevant information about what's being observed, which is then displayed on the lenses of the headset.
The smart glasses would reportedly have motion-sensing capability and rely on 3G or 4G wireless connections, Google's Google Goggles augmented-reality software and a version of the Android operating system, as well as the company's GPS location services, the New York Times said in a report on the project.
Monday, February 20, 2012
Have You Been The Target Of A Google Places Hit Job?
Respond, help, and give your company a good name – even if it doesn’t change the minds of those who wrote the reviews, the visitor will likely be happy to see that your business is being proactive about its online presence. Being meaningful and helpful, even for those who might be confused or even intentionally smearing, will make sure even a low review score will win over potential drop-ins.
Have You Been The Target Of A Google Places Hit Job?
Have You Been The Target Of A Google Places Hit Job?
Saturday, February 18, 2012
Thursday, February 16, 2012
Twitter, Facebook, Google+ And The Future Of Social Sharing [INFOGRAPHIC] - AllTwitter
Twitter, Facebook, Google+ And The Future Of Social Sharing [INFOGRAPHIC] - AllTwitter
Media Bistro - The Future of Social Sharing
Media Bistro - The Future of Social Sharing
Tuesday, February 07, 2012
Steve Plunkett - SearchExchange - July 23-25, 2012 - Charlotte, NC
We’re back with the biggest and best Search Exchange Conference ever!
We thought that last year would be hard to top, but we’ve done
it with some of the biggest names in the industry speaking
on the hottest topics you want to hear about.
So make plans to join us July 23-25, 2012 in Charlotte, NC as
we hear, learn, network and grow!
Friday, February 03, 2012
Official Google Blog: Unicode over 60 percent of the web
Computers store every piece of text using a “character encoding,” which gives a number to each character. For example, the byte 61 stands for ‘a’ and 62 stands for ‘b’ in the ASCII encoding, which was launched in 1963. Before the web, computer systems were siloed, and there were hundreds of different encodings. Depending on the encoding, C1 could mean any of ¡, Ё, Ą, Ħ, ‘, ”, or parts of thousands of characters, from æ to 品. If you brought a file from one computer to another, it could come out as gobbledygook.
Thursday, February 02, 2012
FTC Guides Concerning the Use of Endorsements and Testimonials in Advertising
For purposes of this part, an endorsement means any advertising message (including verbal
statements, demonstrations, or depictions of the name, signature, likeness or other identifying
personal characteristics of an individual or the name or seal of an organization) that consumer are likely to believe reflects the opinions, beliefs, findings, or experiences of a party other than the sponsoring advertiser, even if the views expressed by that party are identical to those of the sponsoring advertiser. The party whose opinions, beliefs, findings, or experience the message appears to reflect will be called the endorser and may be an individual, group, or institution.
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