These Animated Search Engine Bot Crawl Visualizations are the result of a one year experiment on the behaviour of Yahoo, MSN & Google search engine bots. You can click on the pictures to watch the animated visualizations from drunkmenworkhere. MSN Bot Visual Animation Yahoo Slurp Visual Animation Google Bot Visual Animation Definitely worth further study. [...]
Making your brand Secure, Memorable, and Global sounds like what an IP firm, and or marketing agency should do for you. As domain names = brands more and more it’s also the properties that you would like to have your indentifier (brand and/or URL) have on the internet. Up until now Zooko‘s Triangle has argued [...]
TalkDigger is a great tool that lets you search conversations about a specific URL. This is a metasearch that covers Technorati, Google Blog, Bloglines, Feedster, BlogDigger, Icerocket, MSN Search, Google, Yahoo! You can outuput the results as an RSS feed to keep track of your sites and stay involved in the conversation.
“About This Site” is a plugin for Firefox that makes it easy to check: * Alexa traffic detail and related sites * Del.icio.us linkbacks * Google related pages, cache and link information * Kinja site readers * Netcraft reports * Open Directory site listing * Popdex search for citations * Technorati link cosmos * Wayback [...]
One of my friends takes great joy in tormenting Google cheerleaders. He likes to say things like “I’m going to use Yahoo, it’s the best search engine”, or “I’m going to Yahoo for it, that way I will actually find it”. When he wants to find something Y! is the first place that he goes. [...]
SEOmoz | Search Engine Ranking Factors Here is a list of factors in SERPs, aggregated & weighted by a very respectable group of SEOs. Excellent reference for SEO.
Targeting Documents and Terms Through Co-Occurrence Datais a paper written by Dr. Garcia. In which he explains in detail how to choose which keyword in a two term phrase to focus on for SEO. By way of example the phrase “car insurance” is analyzed, with the end result showing that it is better to target [...]
“Work It Harder Make It Better Do It Faster, Makes Us stronger” DaftPunk
Looking at revenues & users for Ebay, Yahoo & Google is where new media economics really begins to come into it’s own. This is web 2.0 theory being proven in the market.
Times of great change mean times of great opportunity.
More simply, Web 2.0 is about the shift from network search economies, which realize mild exponential gains – your utility is bounded by the number of things (people, etc) you can find on the network – to network coordination economies, which realize combinatorial gains: your utility is bounded by the number of things (transactions, etc) you can do on the network.
Web 2.0 is a shift to from tight, hierarchical architectures which realize exponential network FX, to loosely structured architecture which realize combinatorial network FX.
Who wants to own content?
Distribution is not king.
Content is not king.
Conversation is the kingdom.
The war is over and the army that wasn’t even fighting — the army of all of us, the ones who weren’t in charge, the ones without the arms — won. The big guys who owned the big guns still don’t know it. But they lost.
In our media 2.0, web 2.0, post-media, post-scarcity, small-is-the-new-big, open-source, gift-economy world of the empowered and connected individual, the value is no longer in maintaining an exclusive hold on things. The value is no longer in owning content or distribution.
The value is in relationships. The value is in trust.
Information wants to be free while trust wants to be earned. We pay attention to those that we trust. Trust
in network environments
The need for a
cognitive model of trust
The socio-cognitive
model of trust
The beliefs of
trust: what X thinks about Y
The
“Motivation belief” of trust
Yin-yang trust
Internal
and external trust
The sources of
trust
Trust and
irrationality
Degrees of trust
Trust and risk
Trust and
delegation
Trust and control
Trust and
adjustable autonomy
The dynamics of
trust
Trust and
experiences
Trust elicits
trust
Trust
atmosphere
Trust as a three
parties relationship: contracts and authorities
Trust as a
communicative act
Trust as a fuzzy
network
Trust in
contract nets
Trust, security
and technology
Trust and
technical knowledge
Trust and
knowledge management
“Evolution has a nearly infinite multiplier on its search power and it just happens to invest its search effort in the mathematically optimal most efficient search allocation” link
Sometimes closing your eyes gets you exactly where you want to go. Evolution is blind, in that mutations occur without design. Yet even so, evolution produces the most optimal adaptation for any given environment over time.
“Evolution is an information processing system building vast database of information and synthesizing complex measurements of that information and doing an incredibly powerful search and mining of that information database to discover and refine improvements.” link
Sounds a lot like what some of the Big Boys and others are up to, as well as some of other players.
One of the obvious models that Search can learn from Evolution is consequences.
In nature, adaptations/mutations have consequences. Constant feedback is provided by the environment using signals ranging from prosperity to death.
The adult entertainment industry has been doing this for years via Toplists, TGPs (self sorting based on productivity), and partner accounts (symbiotic relationships).
Google is on the track with the toolbar voting buttons, and others like del.icio.us are even further along.
More accurate/efficient feedback means shorter cycles/generations which means less time to optimization.
Not many people bother to give feedback unless it is automatic, or they see immediate benefit from doing so. Personalization or Customization is terrific incentive for people to give feedback.
Maybe what Search needs is to introduce Death into the equation?