Matt Cutts in his post announced the launch of this NEW product from Google.

With the help of Google Analytics, once you have added the code which is provided to you after you sign-in, you will be able to track the movement of visitors to your site and much much more.

For instance you will be able to know from which source (Search engines or websites etc) visitors have found your website and which pages they have visited durin’ their stay on the site. Armed with this information, you will be better able to target your marketin’ strategies and add more action call events on your site to trap as many prospect clients as possible.

This is what Google has to say- “Google Analytics delivers all the features you’d expect from a high-end web analytics offering, and provides timesaving AdWords integration features.“. More can be read on its official website at http://www.google.com/analytics/

Google Analytics is available in 16 languages. If you already have a AdWord account then this product will integrate with it without a hitch.

With Google Analytics you can know which keywords your visitors used to find your website, which Ad was most successful in pullin’ visitors to your site and which landin’ page was effective in terms of marketin’ objective.

Spend on your Marketing not on web analytics

Google says

Get all you want to know about Google Analytics from below:

- Features
- Feature Benefits
- Case Studies
- Help Center: Supporting Google Analytics

This process of called Google Wash, where site using your content (duplicate entry) to gains ranking and your site is pushed/removed from the search results. This definition is in contact to the current episode.

The entire work was done by a French team - Dark SEO Team. They wrote a letter (Open Letter to Matt Cutts) to Matt explainin’ what had happned and where Google went wrong.

The post from Matt’s blog dealt on the recipe of bacon polenta. Earlier the top ranking was from Dark SEO Team. Though Google has now managed to get his employee’s blog anagin on Top.

One strange thing you will notic is that Dark SEO Team’s website http://www.pr10.darkseoteam.com/ is PR10. But if you see their cache page through your Google Toolbar the cache page is that of Google’s home page. http://www.google.com. So this team from France have showed to the world that how people can Fake Page Rank 10.

So they have managed to hack Google’s PR for their website.

Anyway so now debate is on as to how Google is or rather is not able to ditinguish between the original content and duplicate contents.

Google definitely needs to take this twist in his story and make something out of it.

This is from the Google’s official announcment post at its Press Center

Google Reader is part of effort to offer Google functionality with personalized web content to make information more relevant and useful to users. Please visit Google Labs at http://labs.google.com/ to give this new product a try. A reviewer’s guide and additional press materials are available at http://www.google.com/press/guides.html.

One can read more about Google Reader at Google Reader FAQs

Before the official confirmation, rhumors were doing the round which were all put to rest by him. This new way will complement the existing ways such as Google Crawl and Google Sitemaps.

Accoridng to Tom, its an exciting development.

It will be exciting to see content writers and webmasters’ reactions when Google is helping them in their eforts to distribute as much as they can.

Read what people have to say on Search Engine Watch Forums thread Submit Content To Google

I will keep you updated through my post here.

Efforts are there to make theses information strored on different servers to be linked together intelligently in odere to be easily processable by humans and machines, on a global scale.

Tim Berners-Lee, inventor of the WWW, URIs, HTTP, and HTML, initiated the drive to develop the -Semantic Web.

Blogger.com specific search tool can be found here http://search.blogger.com.

Blog search indexes a blog by their site feeds. The process of blog indexing started in june, any blog post older then june 2005 will NOT be included in the search. Google is continuously improving its current search technology to rectify this problem to index older posts as well. This way older posts will also be pulled up in search results.

While some standard search operators (link, site, intitle etc) specific to Google search engine are supported, there are various NEW Blog Search operators as well. Some of them are:

inblogtitle: (search by blog title)
inposttitle: (search by post title )
inpostauthor: (search for posts by a particular Author)
blogurl: (limit search to a URLs)

A search if he wishes, can also limit a SERPs by date — either a particular set of dates or a time span (last 12 hrs, last 24 hrs etc.)

Blog search seems to have a ten-word query limit, unlike the regular Google Web search.

The latest service of Blog Search from Google goes on to prove that Blogs are here to stay and there are movements on parts on other Search engines, some subterranean and some obvious to become the leader. All leading Search engines have been nurturing this idea of offering Blogs and Feed search services but Google seems to march on their path well ahead of time.

So to say, in traditional keyword searches approach, while searching a document collection, it is scanned with an accountant mentality. That is either the document contains the typed keyword or it doesn’t. There is no middle ground.

The resulting result set is created by looking through each document for typed keywords and phrases, ignoring any documents that don’t contain them, and ordering the result based on some ranking algorithm. Each document that contains the keyword stands alone in judgment before the search algorithm - there is no interdependence of any kind between documents, which are evaluated solely on their contents.

These types of traditional keyword search approaches are popular, but they are far from delivering the desired results as anyone who has used a Web search engine would vouch for. One important aspect of the problem is Relevancy — on average 50% of the information retrieved will be irrelevant.

The primary reason for missing on relevant information is that there are surprisingly different ways to describe an idea or concept. For instance if a document author uses one word and a searcher another, relevant materials will be missed. To make it even clearer, a simple query about “laptop” computers, for example, will ignore articles about “portable” or “lightweight” or “notebook” or “palmtop” or “ThinkPad” computers. Searchers and authors alike find it very difficult to anticipate the many ways in which the same idea might be described.

So to overcome this traditional keyword search approaches, a new Concept-based retrieval method is being thought to be the answer. This method of keyword search overcomes many of the problems in today’s popular word-based retrieval systems. This new method is called Latent Semantic Indexing (LSI).

LSI is fully automatic and widely applicable, and has been shown to be 30% more effective in finding and ranking relevant items than the comparable word matching methods.

It adds an important step to the document indexing process of word-based retrieval systems. In addition to recognizing keywords a document contains, it also sees the document collection as a whole, to determine which other documents contain some of those same words. It then assigns a similarity values to the words. LSI considers documents that have many words in common to be semantically close, and ones with few words in common to be semantically distant.

When a user searches a LSI-indexed database, the search engine looks at similarity values it has calculated for every content word, and returns the documents that it thinks best fit the types query. Because two documents may be semantically very close even if they do not share a particular keyword, LSI does not require an exact match to return useful results. Where a plain keyword search will fail if there is no exact match, LSI will often return relevant documents that don’t even contain the typed keyword at all.

This simple method of recognizing associations between keywords reflects more or less how a human being might classify a document collection after scanning the content. Although the LSI algorithm doesn’t understand anything about what the words mean (being a human generated code), the patterns it recognizes can make it closer to showing Artificial intelligence.

I’ve tried to find out few of many many many blogs/personal websites managed by these lucky soul working in Google/Yahoo.

Find below a list of Blogs and personal websites maintained by employees of Google and Yahoo!. They are the brains behind endless list of services Google or Yahoo! always try to dole out to the world in the quest to stay ahead in the Content Search race.

Google’s List

1) http://www.shellen.com (My personal favorite!)
Jason Shellen ( He was working with Pyra Labs, makers of Blogger and Blog*Spot, when Google bought the company)
Google/Blogger
Program Manager

2) http://www.blogger.com/profile/1958068
Doe Mountain (Personal website www.dmountain.com)
Google

3) http://douweosinga.com/blog
Douwe Osinga
Google’s European Engineering Office
Search Engineer

4)www.kimbalina.com
Kimbalina
Google/Blogger

5)http://webcom.com/haahr
Paul Haahr
Google
Software Engineer

6)www.bizstone.com
Biz Stone
Google/Blogger

Yahoo!

1) http://jeremy.zawodny.com/blog/
Jeremy Zawodny
Yahoo
Engineer -Yahoo Search

2) http://homepage.mac.com/naveenjamal/blog/
Naveen Jamal
Yahoo

3) http://www.dronamraju.com/journal/index.html
Ravi Dronamraju
Yahoo

4) http://www.unitedheroes.net/blogs/jr/
JR Conlin
Yahoo

5) http://www.radwin.org/michael/blog/
Michael J. Radwin
Yahoo- Software Engineer

6)http://eric.burke.name/
Eric Burke
Yahoo

Feel free to add into this list. Thanks in advance.

Though I’ll be adding more as and when I’ll find ‘em.

Google recently registered -TrustRank as a Trademark.

A Technical Report titled Combating Web Spam with TrustRank submitted in Stanford University delves deeper into what exactly a TrustRank is? The Report was submitted by Zolt´an Gy¨ongyi and Hector Garcia-Molina from Stanford University and Jan Pedersen from Yahoo! Inc..

The Technical Report in a PDF format is also available.

According to the Report, to combat Web Spam (hyperlinked pages on the World Wide Web that are created with the intention of misleading search engines.), the TrustRank Algorithm evaluates every page against a set of Seed pages.

Seed pages are good pages selected by Human experts which are belived to be reputable, meaning these are most relevant to the searched keyword. Once reputable seed pages are identifed, these are used as a basis to discover other similar pages on the WWW.

In selecting seed pages, preference is given to pages from which we can reach many other pages. In other words, select seed pages based on the number of outbound links.

This is a Inverse PageRank algorithm as in PageRank algorithm, seed pages are selected based on the number of inbound links.

Since the pulled search result pages would be evaluated against seed pages, the results would be much more relevant and will have minimal spam pages.

Search engine experts are interpreting this as an important move by Google to combat Web Spam and in turn improve the search results.

For those who don’t have time to read all the details, here is a one page Comparision chart: Beyond Google and Yahoo!

To read individual Search engines reviews click below:

A9
AltaVista
AOL Search
Ask Jeeves
Google
LookSmart
Lycos
MSN Search
Yahoo Search

Though Google and Yahoo are still the leaders, in terms of overall search experience, we found that almost every SE has somthing unique to offer ot its visitors.

For instance AOL Search offers real-time search suggestions while you type in your query; Ask Jeeves on the other hand offers a cool thumbnail preview of Web pages on its search results; and LookSmart has a unique periodical search feature, plus a one-of-a-kind page archiving tool.

The rating given out of 10 are Google (8), Yahoo (7.7 ), A9 (6.7), Aol search (6.3), Ask Jeeves (6.3) , MSN Search (6), AltaVista (5.7), Lycose (5.3), Look Smart (5).

If you see Aol Search and Ask Jeeves are tied at fourth place.

The comparison chart brings out interesting informations to the viewers which otherwise would not have been be possible.