Saturday, January 26, 2013

Facebook Graph Search - I Got off the Wait List

Today, I got off the waiting list of Facebook Graph Search. This feature is completely different from Google Search. Here you can search anything like real world objects such as People, Restaurants, School, College, Place and so on...in personalized way like your  friends who went to particular place, your friends who are staying in particular place and so on....



Say for example I explored by the Query "My friends who have gone to Adhiparasakthi Engineering College, Melmaruvathur" which returns my college friends who are in Facebook.






More over, you can extend the search by the following options which has shown on the extend the search feature. Extended search includes, photos of these people, places they have worked, Languages they can speak..and many more.You can also refine that search by the filtering feature which is shown on the right side of that result.

One more query, "Restaurants near OMR, Chennai", which returns,




Simply you can find more interesting things in one places called "Facebook Graph Search".

Try this and you will enjoy this feature. Click this link for more info about Facebook Graph Search 

Friday, January 25, 2013

List of all Google's Algorithm Changes

Each year Google changes its search algorithm up to 500 to 600 times. While most of these changes are minor, every few months Google rolls out a "major" algorithmic update that affect search results in significant ways. Here are Google's algorithm changes from the first algorithm up-to January 2012 ,

Google Launching - March 1998

The first search engine using link metrics for ranking was launched.

Google Toolbar - December 2000

Google launches their browser tool bar - toolbar page rank (TBPR). This is the time when the argumentation about Search Engine Optimization (SEO) began.

1st Documented Update - September 2002

The first documented Google update. Changes although unclear, were more than just the casual PageRank update.

The Boston Update - February 2003

First announced at SES Boston, it is the first named Google update. The first few updates were algorithm combinations and were aimed at the monthly index refresh (the so called Google Dance).

The Cassandra Update - April 2003

It concerned some basic link quality issues and was hostile to hidden links and hidden text.

The Dominic Update - May 2003

Google changed the way back links are reported and counted. Many webmasters note bounces after the bots "Deepcrawler" and "Freshbot" were released.

The Esmerelda Update - June 2003

"Google Dance" was replaced with "Everflux", this was indicator for the upcoming changes in Google. It was the last of the regular monthly updates.

The Fritz Update - July 2003

Google index is now changing daily instead of monthly. Fritz caused the end of monthly "Google Dance".

The Supplemental Index - September 2003

This allowed Google to index more documents without any changes in the performance level.

The Florida Update - November 2003

Putting end SEO to technics used in the late 90s as keyword stuffing. A lot of sites lost rankings. The SEO became more challenging.

The Austin Update - January 2004

This update came as enhancement to the previous Florida, as it continued to oppose the On-Page tactics as keyword stuffing and invisible text. There were some speculations about Google updating their algorithm so it takes seriously page relevance.

The Brandy Update - February 2004

A great variety of changes. The LSI(Latent Semantic Indexing) enhanced Google ability to figure out synonyms and completely changed the keyword analysis.

The Nofollow - January 2005

Google with cooperation with Microsoft and Yahoo introduced the "nofollow" link attribute. Its main purpose is to help with the cleaning of the spam but it had great impact on the links.

The Allegra Update - February 2005

There were changes in the rankings but the overall changes of this update remained unclear. There were speculations about Google penalizing the suspicious links.

The Bourbon Update - May 2005

As the guys from Google announced it is "something like 3.5 changes in search quality". Webmasters weren't sure what exactly the innovations are but the speculation was the "Bourbon" changed the way how non-canonical and duplicate content were treated (the battle between www and non-www).

Personalized Search - June 2005

Google began using the history of the user searches for the user searches for the automatic adjustment of the results. The effect was small at first, but Google continue to use search history for many applications.

The XML Sitemaps - June 2005

The traditional HTML sitemaps were changed with XML sitemaps. This allowed webmasters to submit XML sitemaps via Webmaster Tools and gave SEOs the opportunity to influence over indexation and crawling.

The Gilligan Update - September 2005

Google claimed there were no major changes in this update. Index data is being updated daily but some metrics as Toolbar PR once every 3 months.

The Google Local/Maps Update - October 2005

It was a move that drove to several changes in local SEO. Google Maps data was merged into the LBC to encourage businesses to update their site information.

The Jagger Update - October 2005

This update began roughly September and stretched to October, when it had the peak of its impact. The targets of this update were link farms, paid links, low-quality links and reciprocal links.

The Big Daddy Update - December 2005

An update in the basis of Google that concerns the way it handles redirects 301/302, canonicalization and technical issues.

The Supplemental Update - November 2006

Changes in the way that filtered pages were treated. Although it felt a bit like penalty, Google claimed there are no such things.

The False Alarm - December 2006

Despite the reports for great changes in the rankings, the Google guys said there are no major modifications.

The Universal Search Update - May 2007

Not a typical algorithm update, but Google managed to integrate news, pictures, videos, and many other features, changing greatly their format.

The Buffy Update - June 2007

Judging by what Matt Cutts said - the update is just accumulation of small changes.

The Dewey Update - April 2008

Although it appeared as there is great shuffle at the end of March and beginning of April the changes brought by this update were unclear. The speculations were that Google enhances its own properties (including Google Books).

The Google Suggest Update - August 2008

The introduction of the drop down suggestions below the search box, appearing while users are typing their queries.

The Vince Update - February 2009

As it was reported by SEOs, it looked like the update favors strongly the big brands, despite the fact Matt Cutts announced that Vince brings some "minor changes".

The Rel-Canonical Tag Update - February 2009

Google, Microsoft, and Yahoo announced their support for the Canonical Tag. This gave opportunity for the webmasters to send canonicalization signals to search bots without having any impact on human visitors.

The Caffeine Update Review - August 2009

Google released preview of a massive infrastructure change. The innovations were: increased speed of crawling, expanded index, and last but not least integration of indexation and ranking almost in real-time.

The Real-Time Search Update - December 2009

The real time search was a fact: Google News, Twitter feeds, freshly indexed content and other different sources. All were integrated into real-time feed for some of the SERPs. In the same time sources keep on expanding (Social media as well).

The Google Places Update - April 2010

"Places" was firstly presented as a part of Google Maps in 2009. With its official launch in April 2010, the update brought new local search results and gave the opportunity of new local advertisement options.

The May Day Update - May 2010

Released at the end of April and early May, the effect was great drops in the long-tail traffic. Later it was confirmed that the algorithm impacts on the long-tails.

The Caffeine (Roll Out) Update - June 2010

Finally Google finished integrating the Caffeine infrastructure. The update boosted the raw speed of Google, and in a way fixed indexation and crawling (according to Google the results were up-to 50% fresher index).

The Brand Update - August 2010

It does not refer to the usual algorithm updates as Google allowed multiple results for one domain on a SERP (having in mind that before that domains were restricted to only 1-2 listings).

Google Instant - September 2010

Google instant was an expansion of Google Suggest, showing search results while the user was still typing. The impact on SEO was fairly small.

Instant Reviews - November 2010

In November, an icon with a magnifying glass appeared on the search results in Google and allowed visitors to preview a landing page without visiting it. This showed that Google renewed their focus on landing page design, usability and quality.

Social Signals - December 2010

Bing amd Google both confirmed they were taking into consideration social signals to help determine ranking. This new development uses data from Facebook and Twitter.

Negative Reviews - December 2010

After the New York Times published a material on the e-commerce site DecorMyEyes and its rankings that were based on negative reviews, Google made some changes to the algorithm in order to target websites using similar tricks.

Overstock.com Penalty - January 2011

In January, Overstock was penalized publicly by Google for using shady SEO tactics to boost their rankings. Similarly, JCPenny was also hit with such a penalty in February.

Attribution Update - January 28, 2011

This update was response to many so called "high-profile" spam cases and was meant to stop scrapers. This update had an impact on about 2% of the searches.

Panda Farmer 23, 2011

This was one of the big updates that affected 12% of all search results. The update is intended to deal with a lot of site quality issues such as content farms, thin content and others. The update came to Europe in April the same year.

The +1 Button - March 30, 2011

In the end of March, Google placed a +1 button next to the results links responding to the competition (Facebook and Twitter). By clicking the +1 button, users are able to influence both organic and paid search results with in their social circle.

Panda 2.0 - April 11, 2011

The Panda update affected all English queries around the world. Some new factors started to be taken into consideration such as data about websites that were blocked by users via the Chrome browser or the SERPs.

Panda 2.1 - May 9, 2011

Another set of changes were made to the Panda update but they were not discussed thoroughly by Google and didn't seem to be very significant.

Schema.org - June 2, 2011

Google, Microsoft and Yahoo! joined efforts in order to make the job of the webmasters easier by providing a collection of schemas (in other words html tags). Some new "schemas" were also created in order o achieve richer and better search results.

Panda 2.2 - June 21, 2011

Panda was updated once again but this time the updates were done not in real time and were done separately from the main index.

Google + - June 28, 2011

Google launched their own social media that poses a serious threat to Facebook. They implemented their network in various Google products like Gmail and others. In just two weeks, 10 million users signed up for Google +.

Panda 2.3 - July 23, 2011

According to some webmasters, Google made another update to Panda but it was very unclear whether there were any actual changes made or just the existing  ranking and data factors were updated.

Panda 2.4 - August 12, 2011

In August, Panda was released internationally except from Korean, Japanese and Chinese queries. It was reported that this had effect on about 6-9% of  queries in the countries that were affected.

Expanded Sitelinks - August 16, 2011

The expanded site-links was rolled out mostly for brand queries after Google experimented for a while. Soon, the original 12-packs were linked to only 6.

Pagination Elements - September 15, 2011

In order to deal with the duplication and crawl problems causes by pagination, Google introduced two link attributes - rel="prev" and rel="next". The automatic canonicalization and consolidation for "View All" pages were also improved.

516 Updates - September 21, 2011

The CEO of Google, Eric Schmidt, stated that 516 updates were made in 2010. This is not an update but its a bit surprising, especially knowing that they tested more than 13,000 updates.

Panda 2.5 - September 28, 2011

There were a  new Panda update in September, but it wasn't very clear what the changes are. However, some sites reported huge losses.

Panda "FLUX" - October 5, 2011

Matt Cutts tweeted that some "Panda-related Flux" should be expected and the figure he gave was "-2%".

Query Encryption - October 18, 2011

Google announced that search queries will be encrypted for privacy reasons which had a negative impact on the organic keyword referral data.

Freshness Update - November 3, 2011

In November, Google announced a new algorithm change that was going to reward freshness and would impact 25% of the queries. The update was focused mainly on recent content.

10 Pack of Updates - November 14, 2011

In an attempt to little more transparent, Matt Cutts posted a list with 10 recent updates. Most of them were some small changes and the timeline was unclear.

Panda 3.1 - November 18, 2011

After the Panda 2.5 update, came the time of the "Panda Flux" period where more updates were made but the changes were minor. There were no official 3.0 update but some analysis called this one the 3.1

December 10-Pack - December 1, 2011

A second pack of 10 updates was announced in December. Some of these updates included detection of parked domains, blog and image search freshness and more. The exacts dates of the updates were unclear.

January 30-Pack - January 5, 2012

30 changes were announced by Google over the past month. Some of the changes included more rich snippets, relevant site-links and other improvements.

Search + Your World - January 10, 2012

A huge change in terms of personalization was announced by Google. They are incorporating users profiles and a lot of social data into the SERPs. There is also a button that will help you turn off personalization if you don't need it.

Ads Above the Fold - January 19, 2012

The page layout is now even more improvement as the new update devalues websites with too many ads on top or "above the fold". There were speculations that the Panda update was doing a similar thing. This update has no official name yet.

 Source: 

http://www.floridatechnologyjournal.com/features/42-rokstories/1061-history-of-google-algorithm-changes-infographic 

Thursday, January 24, 2013

Google Panda – Basic Info


First Name: “Content Farm” named by Danny Sullivan. Later Google revealed the name as "Panda".

First Update: February 24th, 2011

Impact: 11.8% of English Queries in US.

Why Panda: Focused on showing users the highest quality, most relevant pages on the web.

What is Content Farm:  Content farms are places with “shallow or low quality content.”

External Pressure - The reason behind Content Farm update: Start-up search engine Blekko blocked sites that were most reported by its users to be spam, which included many sites that fall under the content farm heading. It gained a lot of attention for Google and finally the developed the solution for Content farm for Google search result.

Second is Panda: First one was rolled out on January 28th, 2011, named as “Scraper Update” by Danny Sullivan which affects 2% of queries. The net effect of that update allows searchers are more likely to see the sites that wrote the original content rather than a site that scraped or copied the original site’s content.

Factors - Winners Vs Losers

1. Sites whose pages had fewer and/or less intrusive blocks of advertisements on them tended to be in the winner bucket, while those with more and more intrusive advertising tended to be in the loser group.

2. Likewise, sites whose UI/design would likely be described as more modern, high quality, thoughtful and "attractive" were winners vs. the "ugly" sites that tended to be in the loser bucket.

3. When it came to user-generated-content (UGC) sites, those that tended to attract "thin" contributions (think EzineArticles, Hubpages or Buzzle) lost, while those with richer, often more authentic, non-paid, and not-intended to build SEO value or links (think Etsy, DailyMotion, LinkedIn, Facebook) won.

4. In the "rich content" sector, pages with less usable/readable/easily-consumable content (think AllBusiness, FindArticles) tended to lose out to similarly content-rich sites that had made their work more usable (think LOC.gov, HuffingtonPost)

What signals Google may have used in this Update

• User/usage data - signals like click-through-rate, time-on-site, "success" of the search visit (based on other usage data)

• Quality raters - a machine-learning type algorithm could be applied to sites quality raters liked vs. didn't to build features/factors that would boost the "liked" sites and lower the "disliked" sites. This can be a dangerous way to build algorithms, though, because no human can really say why a site is ranking higher vs. lower or what the factors are - they might be derivatives of very weird datapoints rather than explainable mechanisms.

• Content analysis - topic modeling algorithms, those that calculate/score readability, uniqueness/robustness analysis and perhaps even visual "attractiveness" of content presentation could be used (or other signals that conform well to these).

Sources:
http://www.seomoz.org/blog/googles-farmer-update-analysis-of-winners-vs-losers
http://searchengineland.com/google-forecloses-on-content-farms-with-farmer-algorithm-update-66071

Tuesday, January 22, 2013

SEO Questions and Answers

Here are few SEO Question and Answers which would be very helpful for you,


Which “Markup Format” is recommended by Google for rich snippets?

Google recommends "Microdata" to mark up your website. But the others like Microformats and RDF also we can use.

What is meant by “Navigational Query”? Examples?

“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].

When your will get notification about “Health Issues” on your site webmaster tools.

It might be happen when some of your important page was blocked by robots.txt.

Define - Page Layout Algorithm

Page Layout Algorithm, designed to reward sites with content, rather than ads, above the fold. The target is too many ads, yes it is designed to lower the rankings of websites that go much further to load the top of the page with ads to an excessive degree or that make it hard to find the actual original content on the page.

Difference between “Losing Ranks” and “Being Penalized by Google”

Penalties are site wide, not selective

What is meant by “Splogs”?

The characteristics of a spam blog are known as Splogs.

Friday, January 18, 2013

Google Search Vs Facebook Graph Search


Web Pages vs Real World Objects

In Google, the objects we search for are Web pages.

But in Facebook, The objects we search for aren’t Web pages but instead virtual representations of real world objects: people, places and things.

Links Vs Likes

In Google,  Top primarily being links from across the Web. Links, simple form, are like votes, helping Google decide which are the most popular pages to show for a particular topic.

But in Facebook, The connections are primarily Facebook Likes. Did such-and-such a person like a particular photo? A particular doctor? A particular restaurant? Those likes are the ties that bind the information in Facebook together.

Single Vs Multidimensional View

Google search can show you restaurants in San Francisco, a pretty much single dimensional view.

But in Facebook, it shows in multidimensional view, it can show you restaurants in San Francisco liked by your friends. Or further, those liked by your friends who actually live in San Francisco, as opposed to those who live elsewhere. Or those liked by your single friends, your straight friends, your gay friends, your friends who work for a particular company.

In Google+ Local, you can get something like this. It’ll offer to show you restaurants liked by your friends or liked by those similar to you. There are other types of refinements that can be done.

But you won’t get the incredible myriad of possibilities that Facebook Graph search allows….
• Restaurants run by employees of a particular cooking school
• Pictures by friends who live in London
• Friends who are friends with people who work for a particular company, say, all the people at Facebook who know people who work at Apple
• Product managers who have turned into company founders
• Movies that your friends like

Source: http://searchengineland.com/facebook-search-not-google-search-145124

Google Update - EMD, Panda, Penguin..?

My website rankings was fine until Wednesday (16-1-2013) 1.30 PM IST. But yesterday I have got a call from my friend and he told that his website rankings got dropped suddenly on Google. After that, I've checked the rankings of the websites which i am handling, it was drastically dropped. I didn't expect this kind of sudden drop.

And I saw the post on Seroundtable.com , saying that web master world thread discussing about the Google changes. This is happened not only me and my friend, many web masters and I noticed many of my competitor websites also been dropped. The funny thing is, Google had replaced YouTube  Amazon, Press and Release websites for my websites and competitors.

I don't have the idea about the Panda or EMD  or Penguin algorithm update.But I feel something has been done by Google. But Google refused the update, Here is their comment about the update(Posted by Seroundtable.com)



It's not Panda. We asked around a little bit and didn't uncover any other likely suspects, but remember that Google launches over 500 algorithmic changes per year, so there are always small changes rolling out.