powerful search engine optimization
effective link popularity development

Below our informational pages about search engine marketing. All content provided by M. D. Conti, Search Engine Optimizer

--------------

Keywords

How to choose keywords

Keyword
prominence

SEO

The factors that play a role in your web site's ranking

Optimised
web-design

Search engines strategies

Optimized body description

Content is king

Invisible
text

Comment tag optimisation

Meta tag optimization

Title tag
optimisation

Hyperlink
URL tag optimisation

Alt tag optimisation

Getting your
PDF indexed

Alternative traffic promotion techniques

Copywriting

Creating effective body descriptions

Writing content: focus on your target audience!

Content is king

Writing a
business
website homepage

Actractive web
page titles

Links

Linking
tips

Linking
strategies

Trading
links

Link popularity development

Website's linking architecture

Automated linking software

16 rules for a good link exchange request

Pay per click

Pay-per-click: How to increase the
click-through-rate

Pay-per-click: PPC strategies

SEO versus PPC

Pay-per-click: PPC campaigns

Pay-per-click: Landing pages

Pay-per-click: PPC management

Pay-per-click search engines list

Pay-per-click:
how to avoid click fraud

How to improve effectiveness in PPC

Pay-per-click:
How to chose keywords

Pay-per-click:
Google AdWords

Pay-per-click: Google AdWords account structure

Pay-per-click: Yahoo Search Marketing (SM)

Yahoo SM
versus
Google AdWords

Domain names

Domain name strategies

Domain
registration
rules

Content
spidering

TDL: country top domain level

CIRCA technology: applied semantics to search engines

Latent semantic indexing (LSI)

Real simple syndication (RSS)

Block-level link analysis

Google

Google "jagger" update

Google "link" command

Google's ranking algorithm
part 1/4

Google's ranking algorithm
part 2/4

Google's ranking algorithm
part 3/4

Google's ranking algorithm
part 4/4

Google's
original
patent:
how Google
works

Google's
page rank

Google's sandbox: delayed inclusion of new websites

Google's penalties: getting penalized

Google's
sitemap
service

Google's
search
page

search engines

How search engines evaluate relevancy when ranking search results

How to be informed when a search engine spider visits your site

How to instruct
spiders by means
of the head-tag

How to prevent
duplicate content

How search engines work

Australian search engines list

World major search engine list

Web searchers' behaviour: shocking web users' statistics

Listing expectations: how much better is ranking No. 1 versus No. 10?

web marketing

Seven reasons
why customers
don't buy

12 ways to exceed your client's expectations every time!

Market reseach for new online business

How to set up your best customer profile

Web
Marketing
Plan

12 tips to build
a new SEO
Career

How to market your website: five keys to web site marketing success

How to market your website: the five web marketing laws

How to market your website: miscellaneous marketing strategies

How to market your website: a mixed marketing media approach

miscellaneous

Site
defacements

Link in a
new window

Are you cross-browser compatible? Learn how to do it

Javascript to let visitors bookmark your website

Why your web pages don't load fast enough

Javascript to open a link in a new window

Hexadecimal

Hexadecimal color codes

Decimal RGB color codes

 

Add a Link
Company Profile
Keyword Tracking
Search Engine Optimisation
Link Popularity Building
Pay Per Click - PPC
Links
Home

Block-level PageRank and block-level HITS

What is block-level link analysis?

Microsoft's research lab has released a paper in which they discuss a new way to rank web sites. The new method is called "block-level link analysis". What is block-level link analysis? It's Microsoft attempt to deal with the faults in PageRank and HITS (Hyperlink Induced Topic Search):

Link Analysis has shown great potential in improving the performance of web search.

PageRank and HITS are two of the most popular algorithms. Most of the existing link analysis algorithms treat a web page as a single node in the web graph. However, in most cases, a web page contains multiple semantics and hence the web page might not be considered as the atomic node.

In this paper, the web page is partitioned into blocks using the vision-based page segmentation algorithm. By extracting the page-to-block, block-to-page relationships from link structure and page layout analysis, we can construct a semantic graph over the WWW such that each node exactly represents a single semantic topic. This graph can better describe the semantic structure of the web.

Based on block-level link analysis, we proposed two new algorithms,

  1. Block Level PageRank
  2. Block Level HITS
How does it work?

In short, the new ranking system assumes that all links on a web page are not equal. The idea is that a web page can be divided into blocks that have different topics. The weight and the relevance of a link is determined by its location within the blocks. By dividing a web page into blocks, web pages are no longer the smallest unit when doing a web search.

Does this mean better search engine results?

Will this method deliver better search results than today? This has yet to be proved. One problem might be that computers only see the text on a web page and that human surfers see a combination of pictures and text. The same web page may look different to a search engines spider and to a human visitor.

What does this mean to me and my web site?

This new concept is still in the beta phase and not yet official. While it might improve the way search engines rank web pages, we still have to see if Microsoft really uses this algorithm in its new search engine. At the moment, you don't have to react to this new ranking method.

Home Site Map Contact Us Price List Webmaster Company Profile Links Add a Link

Price List
Site Map
Contact Us
Webmaster