The document discusses how Google's search engine works through crawling, indexing, and ranking webpages. It explains Google's PageRank algorithm and how it assigns relevancy scores to pages. It also summarizes several major Google algorithm updates including Caffeine, Panda, Penguin, and their goals of improving search quality and user experience by penalizing low-quality, duplicate, and deceptive content.
Each year, Google changes its search algorithm around 500–600 times. While most of these changes are minor, Google occasionally rolls out a "major" algorithmic update (such as Google Panda and Google Penguin) that affects search results in significant ways
Google Algorithm is set of code or system which particularly used to retrieve data form its search index & provides best possible results for queries. The best links relating to your search query are theoretically the first ones Google lists.
This tutorial is the magic potion for any one who is struggling to rank high in the search results. We have come up with top 10 free seo tools, which will prove helpful in carrying out various tasks related to SEO. Here we go with - 1. Keyword research tool - Google Keyword Planner. 2. Webmaster tool - Google Search Console, 3. WordPress Plugin - Yoast SEO Plugin. 4. Analytics Tools - Google Analytics. 5. Plagiarism Checker - SmallSEOTools. 6. Page Speed Check Tool - PageSpeed Insights. 7. Competitor Analysis Tool - SEMRush. 8. Website Audit Tool - Screaming Frog. 9. Backlink Checker - Ahrefs Backlink checker. 10. Mobile friendly test tool - Google Mobile-Friendly Test. You will understand the importance of all these tools, how to use them and other similar tools.
Each year, Google changes its search algorithm around 500–600 times. While most of these changes are minor, Google occasionally rolls out a "major" algorithmic update (such as Google Panda and Google Penguin) that affects search results in significant ways
Google Algorithm is set of code or system which particularly used to retrieve data form its search index & provides best possible results for queries. The best links relating to your search query are theoretically the first ones Google lists.
This tutorial is the magic potion for any one who is struggling to rank high in the search results. We have come up with top 10 free seo tools, which will prove helpful in carrying out various tasks related to SEO. Here we go with - 1. Keyword research tool - Google Keyword Planner. 2. Webmaster tool - Google Search Console, 3. WordPress Plugin - Yoast SEO Plugin. 4. Analytics Tools - Google Analytics. 5. Plagiarism Checker - SmallSEOTools. 6. Page Speed Check Tool - PageSpeed Insights. 7. Competitor Analysis Tool - SEMRush. 8. Website Audit Tool - Screaming Frog. 9. Backlink Checker - Ahrefs Backlink checker. 10. Mobile friendly test tool - Google Mobile-Friendly Test. You will understand the importance of all these tools, how to use them and other similar tools.
This presentation provides you with the invaluable compendium of useful information on 'SEO' that is Search Engine Optimization.
The Agenda here are as follows:
1. What are Search Engines?
2. How do Search Engines Work?
3. Examples of popular Search Engines
4. Search Engine Statistics
5. What is Search Engine Optimization (SEO)?
6. Goals of Search Engine Optimization
7. History of Search Engine Optimization
8. Techniques for Search Engine Optimization
9. Algorithm for Search Engine Optimization
10. Ranking factors for Search Engine Optimization
11. Tools for Search Engine Optimization.
This presentation aims at the industries currently trying to seek different solutions for SEO techniques.
Learn the importance of Keyword Research and competition analysis for SEO.
Keyword Research is a process of finding the good keywords for website to optimize the site.
Competition Analysis is a process of finding the difficulty level of keywords compared with existing competition for keywords.
We Corporate Services, Based at India.We will provide professional IT Services are mention below.
1. Website Design and Development
2. Software Development
3. SEO and SMO Services
4. Bulk SMS provider
5. Bulk Email Services
6. Hosting service provider.
Please visit: www.thecorporateservices.com
Email: corporateservices@outlook.com
A short introduction to SEO we use at Geronimo
What it means, what can you do to help your website. What's SEM and how does it work (the basics!)
Thanks go to Eaon Prichard
In this presentation, I have described in details the dofollow and Nofollow links.Do-Follow links are those which instructs the crawler that it can follow the link to other web page or websites and move on. No-follow links are those that instruct the crawler that they shouldn’t be used as the path for travelling between different web pages or websites. For this, the no-follow links contain a small obtrusive piece of code that instructs the crawler to avoid them while travelling from one web page to another.
Search Engine Optimization(SEO) Tutorial Part 2Reena ji
Our SEO tutorial includes all topics of Search Engine Optimization such as black and white SEO techniques, how search engine works, SEO market research,Google Algorithm Updates.
Abstract: Google employs algorithms in such a way that it holds the capability of sensing what one might want to see, out of the keyword that we have entered. In other words Google’s algorithms accept our query as input and produce results in the form of webpages that may count up to many thousands or even millions.
There are certain criteria upon which the algorithm filters our search results. The technical term used to represent such criteria is ‘clues’. These clues are unique signals that help in determining what really we are looking for. They include information like the terms and condition of a website, how recent has the content been modified, the region in which the user exists, how good the title of a pages looks and rank of the page.
Google’s developers focus on refining the quality of result produced by employing different ‘clues’, that also determine if a page or website stands at position 1 in search results.
While the overall preview of how the algorithm works has been specified, a Google algorithm is not as easy as it meets the eye. Google algorithms are complicated and increase in the level of complexity as the search for a user’s query gets refined from level to level.
This presentation provides you with the invaluable compendium of useful information on 'SEO' that is Search Engine Optimization.
The Agenda here are as follows:
1. What are Search Engines?
2. How do Search Engines Work?
3. Examples of popular Search Engines
4. Search Engine Statistics
5. What is Search Engine Optimization (SEO)?
6. Goals of Search Engine Optimization
7. History of Search Engine Optimization
8. Techniques for Search Engine Optimization
9. Algorithm for Search Engine Optimization
10. Ranking factors for Search Engine Optimization
11. Tools for Search Engine Optimization.
This presentation aims at the industries currently trying to seek different solutions for SEO techniques.
Learn the importance of Keyword Research and competition analysis for SEO.
Keyword Research is a process of finding the good keywords for website to optimize the site.
Competition Analysis is a process of finding the difficulty level of keywords compared with existing competition for keywords.
We Corporate Services, Based at India.We will provide professional IT Services are mention below.
1. Website Design and Development
2. Software Development
3. SEO and SMO Services
4. Bulk SMS provider
5. Bulk Email Services
6. Hosting service provider.
Please visit: www.thecorporateservices.com
Email: corporateservices@outlook.com
A short introduction to SEO we use at Geronimo
What it means, what can you do to help your website. What's SEM and how does it work (the basics!)
Thanks go to Eaon Prichard
In this presentation, I have described in details the dofollow and Nofollow links.Do-Follow links are those which instructs the crawler that it can follow the link to other web page or websites and move on. No-follow links are those that instruct the crawler that they shouldn’t be used as the path for travelling between different web pages or websites. For this, the no-follow links contain a small obtrusive piece of code that instructs the crawler to avoid them while travelling from one web page to another.
Search Engine Optimization(SEO) Tutorial Part 2Reena ji
Our SEO tutorial includes all topics of Search Engine Optimization such as black and white SEO techniques, how search engine works, SEO market research,Google Algorithm Updates.
Abstract: Google employs algorithms in such a way that it holds the capability of sensing what one might want to see, out of the keyword that we have entered. In other words Google’s algorithms accept our query as input and produce results in the form of webpages that may count up to many thousands or even millions.
There are certain criteria upon which the algorithm filters our search results. The technical term used to represent such criteria is ‘clues’. These clues are unique signals that help in determining what really we are looking for. They include information like the terms and condition of a website, how recent has the content been modified, the region in which the user exists, how good the title of a pages looks and rank of the page.
Google’s developers focus on refining the quality of result produced by employing different ‘clues’, that also determine if a page or website stands at position 1 in search results.
While the overall preview of how the algorithm works has been specified, a Google algorithm is not as easy as it meets the eye. Google algorithms are complicated and increase in the level of complexity as the search for a user’s query gets refined from level to level.
Google Updates: Panda, Penguin and Hummingbird, Oh My!MITCPS
According to Compete PRO, 34.52% of the incoming traffic to mit.edu sites in July 2014 came from Google.com. That’s 1,403,774 out of the 4,065,881 visits to these sites from the U.S. that month. This presentation will explain how search works and give an overview of the more than 200 unique signals or “clues” that Google’s algorithms use today. It will also cover three major updates to Google’s algorithms, named Panda, Penguin and Hummingbird. And it will take a look at the algorithms of the second largest search engine, YouTube.
Find details of all the Google Updates like Google Hummingbird, Google Mobile Friendly Update, Google Panda Update, Google Penguin Update, Google Pigeon Update, Google Payday Update, Google Pirate Update, Google EMD (Exact Match Domain) Update, with our comprehensive reporting.
Google Panda is the core part of the Google ranking signal as well as it's an algorithm known as Google search engine update which keeps track of website quality. It is a search filter designed especially to terminate poor quality website.It was launched on 24 February 2011 and last updated on 2016.
How Does Google’s Helpful Content Update Impact SERP Rankings_.pptxUkti
Google first announced the Google Helpful Content Update on 18th August 2022 to crack down on low-quality, unhelpful content. This caused huge ripples in the search result rankings, as big websites like HubSpot and Search Engine Journal started experiencing month-over-month drops in total keyword traffic.
So, what does the update mean for your SEO and rankings? Here are all the important bits you need to know about Google’s Helpful Content Update and its impact on rankings.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
2. Contents:
1.Introduction
2.How a search engine works?
3.PageRank Algorithm and working
4.Updates in the Google Algorithm:
i) Caffeine
ii) Panda
iii)Penguin
iv)Hummingbird
v)Pigeon
vi)Mobilegeddon
3. HOW DOES GOOGLE SEARCH WORKS?????
Google's search engine is a powerful tool. Without search engines like Google, it would
be practically impossible to find the information you need when you browse the Web.
•Google uses automated programs called spiders or crawlers, just like most search
engines.
•Also Google has a large index of keywords and where those words can be found.
•What sets Google apart is how it ranks search results, which in turn determines the
order Google displays results on its search engine results page (SERP).
•Google uses a trademarked algorithm called PageRank, which assigns each Web page
a relevancy score.
•So basically google does three things : 1. Crawl web comprehensively and deeply.
2. Index those pages found in web.
3. Rank those pages & return the most
relevant ones to the user.
4. CRAWLING:
•For crawling there exists a crawler i.e. a program that visits Web sites and reads
their pages and other information in order to create entries for a search
engine index. The major search engines on the Web all have such a program, which
is also known as a "spider" or a "bot."
•For crawling page rank is the primary determinant.
More the page rank means more people are linked to the page and the more
reputed they are, its more likely that your page is crawled earlier.
•In around like 2000, google used to do crawling for like months .
Later took 30days, then indexing for a week and then result.
Then after some time , after 1 month crawling , a recrawling was done on the high
page rankers to see if there is some change , then its updated and indexing was
done for 1 week and then result.
5. •Around 2003, significant chunks of web was crawled daily. And by the end of the
day each chunk was checked again for any changes. So a base main index was
maintained which got out of date till you loop back around & refresh it.
•And this process helped as we need not had to wait for the whole crawling to be
finished as we were getting incremental updates.
•This refreshing increased a lot in the coming years & so google was noticing
changes a lot faster than before.
6. INDEXING:
Earlier Google along with main base index had more things ; really fresh content,
layer of main index and then the supplementary index which were more like of
documents which were not changed quickly.
But now indexing has changed a lot.
Now indexing is basically taking things in word order.
e.g.:
If someone searches Donald trump in the search bar.
7. RANKING:
•It depends upon the page rank as well as other such 200 factors and google
balances all these factors to rank a page.
Take the same example; we will look the pages having the position of ‘Donald’
& ‘Trump’ next to each other, or the no of times it occurs or the no of links it
has to it and the content it has about it.
So any time someone searches something; that query is sent to the nearest
datacenter of google, there the search is sent to 100 different machines who
all at once look through their tiny fraction of web and then find the best
matched documents and then these results are merged so as to select &
provide the user the best document as per his/her query.
All this in just half of a second!!
8.
9. The heart of Google’s searching software is PageRank, a
system for ranking web pages developed by Larry Page and
Sergey Brin, the founders of Google, at Stanford University.
PageRank is a probability distribution used to represent the
likelihood that a person randomly clicking on links will arrive at
any particular page.
It works by counting the number and quality of links to a page
to determine a rough estimate of how important the website
is. The underlying assumption is that more important websites
are likely to receive more links from other websites .
Google interprets a link from page A to page B as a vote, by
page A, for page B.
10. How it works?
N= no. of nodes / webpages
Initialize PR(X)=100%/N
12. The PageRank theory holds that an imaginary surfer
who is randomly clicking on links will eventually
stop clicking. The probability, at any step, that the
person will not continue is a damping factor d( 0 to 1)
It is an iterative algorithm and it continues to
calculate PR until the algorithm converges.
PR is computed using this formula:
17. ABOUT CAFFEINE!!
•It was launched in 2009.
•Google Caffeine was the latest update coming to the Google search engine, but
unlike other updates, Google Caffeine was a reboot of the search engine.
•Rather than simply introducing new changes within the current system,
Google has opted to completely retool the search engine with a goal of
achieving greater speed, better indexing & a more relevant search results.
•Speed. This was the main goal of Google Caffeine. Search results were loading
up to twice as fast as previous results.
•Size. The more results that can be indexed, the better results that can be
achieved within the search result pages. Google Caffeine increased the size of
the index, with some search results pulling back 50% more items.
•Relevance. While speed and size are the easiest to test, the relevance of
Google Caffeine's search results made the biggest difference.
18.
19. What Is the Panda update?
•Panda is a update in search algorithm named after the Google
Engineer, Navneet Panda .
•It was the first search filter that was rolled out In February 2011.
•It’s basically a content quality filter that was targeted at poor quality and
thin sites, in particular content farms, in order to prevent them from
working their way to Google’s top search engine results pages.
•Google could now determine more accurately which sites were “spammy”
and which sites would likely be deemed useful by visitors.
•Google said the update affected 12% of searches in the U.S.
20. Why Panda is called a update ?
• Panda is called an update because the filter runs periodically. And, every
time it runs, the algorithm takes a new shape.
•There has been a Panda update every 1-2 months since 2011, for a total
of 26 updates since February 14, 2011.
• Panda 1.0 update: The search filter was aimed at content farms — those
sites that employ many writers who create poor quality content around
specific keywords in a bid to rank in Google’s top ten results on a rank
tracker.
• Panda 2.0 update: This update, released in April 2011, was targeted at
international search queries, though it also impacted 2% of U.S. search
queries.
21. Panda 2.1 – 2.4: There were minor updates in May, June and July 2011 in which
Google incorporated more signals to help estimate the quality of a site. Low quality
content and pages were further penalized.
Panda 2.3: It was minor and focused on the user’s experience.
Panda 2.4: This update was rolled out in August 12th, 2011 and affected about 6-9% of
user queries. It was focused on improving site conversion rates and site engagement.
Panda 3.0: This SEO power search filter began to roll out on October 17, 2011 and
was officially announced on October 21, 2011. This update brought large sites higher
up in the SERPs – e.g., FoxNews, Android.
Panda 3.1 went live on November 18, 2011. It was minor and affected about 1% of all
search queries. Although this number seems low, it is still significant for any rank
tracker, considering the number of searches conducted every day.
22. Panda 4.0: On May 20, 2014, Matt Cutts tweeted that Google was rolling out
Panda 4.0. It was the next generation of Panda and it generated both winners and
losers. This update had a big impact.
Ebay lost a significant percentage of the top 10 rankings it had previously enjoyed.
Panda 4.0 was primarily targeted at larger sites that have been dominating the top
10 results for seed keywords.
23. What was the impact of panda ?
•The sites with large amount of advertising dropped in ranking.
•The sites with duplicate content, or those which copied content from other
sites were ranked lower while the ones with the original content were
ranked higher.
•The sites with poorly written content like those having spelling mistakes or
grammatical mistakes were ranked lower.
•The sites having a lot of links i.e. inlinks or outlinks were ranked low.
GOOGLE provided an advisory on its blog for the users for providing them
with some direction for self evaluation of their website’s quality in some 23
bullet points.
24. What to do and what not??
•Make the content of your site original if its not.
And for that we can use “copyscape” a tool for duplicate content detection
software.
•Make sure the content is not redundant.
•Don’t stuff your pages with a lot of keywords.
•Write the content for your site but not for the search engine.
•Try to get your content be written with the help of a proffessional having
good writing skills so as to avoid spelling and grammatical mistakes.
•Make your site easy to navigate.
•Keep a check on the time your site takes for loading. The one that loads
faster has a better rank.
25. Misconception with PANDA
I) It affects the site only.
But its later updates looked the page by page content and then ranked
the pages and in extreme case the rank of the site gets changed.
II) Panda is a penalty .
Its not since its whole aim is to increase the google quality and the
content we find there.
26.
27. What is a penguin update ??
•On April 24, 2014, Google released the first Penguin update.
•While the Panda update was primarily targeted at thin and low-quality content,
Google Penguin was a set of algorithm updates that puts more focus on incoming
links.
•Google Penguin is a codename for a Google algorithm aimed at decreasing search
engine rankings of websites that violate Google's Webmaster Guidelines by using now
declared black-hat SEO techniques involved in increasing artificially the ranking of a
webpage by manipulating the number of links pointing to the page. Such tactics are
commonly described as link schemes.
28. Factors which are watched by the PENGUIN !!
There are four factors which will get your site penalized by Penguin. See the image
below:
29. 1) Link schemes
•Links are still important, but high quality sites are using this as the best way to
improve search rankings.
•Link schemes are those types of activities geared at generating links that will
manipulate or induce search engines to rank your web pages. If you fall into the
trap of always building links to your site from every other site found in search
engines, you may be penalized by Penguin.
•A dedicated website that interprets lyrics and poetry, was penalized, because
Google found they were using link schemes to manipulate their rankings at the
time.
30. 2) Keyword stuffing :
Matt Cutts already warned against stuffing your page with relevant keywords. No
matter how in-depth and easy-to-navigate the site is, Penguin will most likely find
and penalize it. In most cases, it’s easy to see why, especially if you’ve ever actually
seen a keyword-stuffed page.
Here’s an example:
Buying valentine’s gift for your spouse is a great step to take. This
year, valentine’s gift should be an avenue to express how much love you’ve for
him or her. Make sure the valentine’s gift is well-researched. But don’t stop
there. Make it a culture to always show love to your spouse, whether there is
valentine celebration, Christmas etc. When you show love, you get love. For
instance, when you show love today, you’ll live to be loved. Are you ready to
choose the best valentine’s gift?
That’s keyword stuffing and it’s contrary to the Google Webmaster Guidelines.
31. 3) Over-optimization :
SEO is awesome, but too much SEO can cause over-optimization. If you over-optimize
your anchor texts, for example, this could get you penalized by Penguin. The best
approach is to incorporate social media marketing and gain natural or organic links to
your web pages.
One of the signs that you might be over-optimizing is having keyword-rich anchor texts
for internal links, i.e., anchor text that links to a page within your own web pages.
Here’s an example:
Learn more about Hp Pavilion 15 laptops and its features.
(Links to: example.com/hp-pavilion-15-laptops.htm)
Another example:
Do you know the best iPhone case that’s hand-crafted for you?
(Links to: example.com/best-iphone case-hand-crafted)
32. 4)Unnatural links :
The funny thing about unnatural links is that they don’t look good to anyone – not
to your readers and not to Google. These links may appear on sites that are totally
off-topic. E.g. Cardstore lost their ranking through unnatural links that appeared in
article directories.
The moral of the story: Your links should be natural.
33. CONFIRMED PENGUIN UPDATES
Penguin 1 on April 24, 2012 (impacting around 3.1% of queries)
Penguin 2 on May 26, 2012 (impacting less than 0.1%)
Penguin 3 on October 5, 2012 (impacting around 0.3% of queries)
Penguin 4 (a.k.a. Penguin 2.0) on May 22, 2013 (impacting 2.3% of
queries)
Penguin 5 (a.k.a. Penguin 2.1) on October 4, 2013 (impacting around 1%
of queries)
Penguin 6 (a.k.a. Penguin 3.0) on October 17, 2014 (impacting less than
1% English queries). On December 1, 2014 Google confirmed that the
update was still rolling out with webmasters continuing to report
significant fluctuations.
Penguin 7 (a.k.a. Penguin 4.0) on September 23, 2016
34. •The Panda update is primarily concerned about quality content, while Penguin wants
to drown spammy or aggressive links that strive to manipulate any search engine rank
tracker.
•It’s important to keep an eye on both updates. When your site is penalized by Panda,
there’s a good chance that Penguin will affect your site, too.
•Even if your webpage contains unique, useful and in-depth content, the Panda
update likes you but you’ll still face a Penguin penalty if your links are low-quality.
PANDA
V/S
PENGUIN
36. When did Google release it?
Google started using Hummingbird about August 30,
2013, and announced the change on September 26 on
the eve of the company's 15th anniversary.
Why is it called Hummingbird?
This Google algorithm derives it’s name from the tiny
bird, which is known for being “precise and fast.”
37. Why was it important?
Panda, Penguin and other updates were changes to parts of the
old algorithm, but not an entire replacement of the whole.
The Hummingbird was an entirely new algorithm.
It approaches search engine queries in a brand new and
intelligent way utilizing new technology combined with older
features of the existing algorithms.
Biggest change since 2010, when Caffeine Update was released.
Since then, Google only updated it’s algorithm but never
changed it.
Hummingbird was important because Google Algorithm was
dramatically rewritten.
38. How was it different ?
Hummingbird is about synonyms but also about
context. Google always had synonyms, but with
Hummingbird it is also able to judge context—thereby
judging the intent of a person carrying out a
search, to determine what they are trying to find
out. This concept is called semantic search.
Semantic search seeks to improve search accuracy by
understanding the searcher's intent and
the contextual meaning of terms to generate more
relevant results.
39. Is Page Rank dead?
No.
Page Rank is one of over 200 major “ingredients” that
go into the Hummingbird recipe.
Hummingbird still depends on PageRank to decide
how important links to a page are deemed to be?
But this is along with other factors like whether Google
believes a page is of good quality, the words used on it
and many other things
40. Main Characteristics
1. Knowledge Graph:
a knowledge base used by Google to enhance its search
engine’s search results with semantic search information
gathered from a wide variety of sources.
Google has been up and running for 15 years (at the time
of Hummingbird release), and since then, it has been
collecting what could very well be the largest database of
knowledge ever recorded.
This knowledge Graph came into view after Hummingbird
release and was extensively used by Google to understand
the relevance and context of the searches.
41. The Resurgence of Long Tailed Keywords
The Hummingbird will take a search engine query using
long-tailed keywords and try to decipher the context of the
question rather than chase the specific keywords within
the question. The goal is to provide results that actually
answer the question
Contextual and Conversational search
In Contextual search, Google increasingly returns results
that match the intention behind the query. Results are no
longer limited to the words themselves, but include an
interpretation of intent behind the search.
42. EXAMPLE:
A search for “pay my bills through HDFC Bank”
used to bring up the home page for HDFC Bank but
now should return the specific page about paying bills
Google interprets the query and returns an answer in
the search results as a Knowledge Graph integration
43. Conversational search is a new kind of philosophy for
human/computer interaction. The principle
behind conversational search is that a user can speak a
sentence into a device, and that device can respond with a
full sentence.
Example: “What’s the closest place to my home,to but an
iPhone?”
How Hummingbird will interpret it?
It may better understand the actual location of your
home, if you’ve shared that with Google.
It might understand that “place” means you want a brick-
and-mortar store.
It might get that “iPhone ” is a particular type of
electronic device carried by certain stores.
44. Information card
Hummingbird is supposed to answer the search
question.
It does this by giving us an answer in the form of an
“Information Card” taken from its Knowledge Graph
and displaying it right at the top of the results page
either above or to the right
Example:
“Does Barrack Obama have children?”
45. There are many
wonderful websites,
that want to give us
that information and
while they are at it,
show us what
wonderful surprises
they have to offer.
Unfortunately,
Google has already
answered my
question in the
Information Card.
Why should I bother
to click on those
links when I have the
answer right here in
front of me?
46.
47. Google Pigeon is the code name given to one of Google's
local search algorithm updates.
The update is aimed to increase the ranking of local listing
in a search.
This update was released on July 24, 2014
What was new??!!
To improve the quality of local searches and provide more
relevant results to the user, Google relies on factors such as
location and distance.
This update alters the local listings in the search results;
along with this, the local directory sites like Yelp are given
preference.
48. Pigeon improves their distance and location ranking
parameters.” Increased specificity affected dense
neighborhoods, also known as “informal space.”
Neighborhoods are known as “informal space,” meaning there
are no standard boundaries. So the definition of where a
neighborhood starts and stops can be different for everyone.
This makes it hard for services like Google to get the
neighborhood thing right.
49. How does Pigeon help?
The algorithm will return better results for queries that
use both the conventional term for a local
neighborhood and the colloquial term for the same
neighborhood.
The algorithm will provide local results for areas that
are slightly outside of a searched-for local
neighborhood
50. When I just type ‘rest’,
restaurants is the first suggestion that pops up
Restaurants in Indore is also among the top
suggestions by Google.
53. It refers to Google's algorithm update of April 21, 2015
The main effect of this update is to give priority to web
sites that display well on smartphones and other
mobile devices.
The change does not affect searches made from a
desktop computer or a laptop
It was labeled as an update that changed the world of
web from the prospect of users as well as webmasters.
54. What makes a webpage mobile-friendly?
Avoids software that is not common on mobile devices,
like Flash
Uses text that is readable without zooming
Sizes content to the screen so users don’t have to
scroll horizontally or zoom
Places links far enough apart so that the correct one
can be easily tapped
55. What is known of Mobilegeddon update?
It only applies to individual pages, not entire websites. So if you
only have one page that is mobile friendly, only that page will do well
in mobile search.
It affects searches on mobile devices across all languages and
locations.
One of the best ways to combat it is to switch to a responsive
website.
A responsive website displays content differently depending on the
device used to view it, which produces more relevant layouts which
optimize the end user’s experience and also looks much better.
56. Age of Artificial Intelligence:
Google uses artificial intelligence (AI) to better understand
search queries. A "very large fraction" of queries is being
interpreted by an AI system called RankBrain.
Expect more accurate search results
With machine learning, RankBrain better understands
what users are searching for. It has improved 54.6 % of
difficult to understand queries.
Using AI, Google handles the increasing volume of search
traffic that comes as a byproduct of increasing Internet
access.
RankBrain also contributes to page ranks.
Editor's Notes
Thin sites: sites having little or no original content
Content farms: a content farm is a company that employs large numbers of freelance writers to generate large amounts of textual content which is specifically designed to satisfy algorithms for maximal retrieval by automated search engines. Their main goal is to generate advertising revenue through attracting reader page views
BLACK HAT SEO: In search engine optimization (SEO) terminology, black hat SEO refers to the use of aggressive SEO strategies, techniques and tactics that focus only on search engines and not a human audience, and usually does not obey search engines guidelines.
such links worked in the past and larger sites were the best players of that game. Google Penguin destroyed the playing field for those big sites, which then lost all of the benefits of their hard work. The moral of the story: Your links should be natural.
Hummingbird also contains other parts with names familiar to those in the SEO space, such as Panda, Penguin and Payday designed to fight spam, Pigeon designed to improve local results, Top Heavy designed to demote ad-heavy pages, Mobile Friendly designed to reward mobile-friendly pages and Pirate designed to fight copyright infringement.
Panda, Penguin and other updates were changes to parts of the old algorithm, but not an entire replacement of the whole. Think of it again like an engine. Those things were as if the engine received a new oil filter or had an improved pump put in. Hummingbird is a brand new engine, though it continues to use some of the same parts of the old, like Penguin and Panda
Such systems consider various points including context of search, location, intent, variation of words, synonyms, generalized and specialized queries to provide relevant search results.
two major forms of search: navigational and research.[2] In navigational search, the user is using the search engine as a navigation tool to navigate to a particular intended document. Semantic search is not applicable to navigational searches. In research search, the user provides the search engine with a phrase which is intended to denote an object about which the user is trying to gather/research information. There is no particular document which the user knows about and is trying to get to. Rather, the user is trying to locate a number of documents which together will provide the desired information.
Knowing all these meanings may help Google go beyond just finding pages with matching words.
In particular, Google said that Hummingbird is paying more attention to each word in a query, ensuring that the whole query — the whole sentence or conversation or meaning — is taken into account, rather than particular words. The goal is that pages matching the meaning do better, rather than pages matching just a few words.
Yelp took issue with Google in mid-2014 for apparently disregarding the major local review site in its search results. The compay accused Google of pushing its own reviews ahead of Yelp’s, even when the searcher asked specifically for “yelp” in their query.