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About Search Engines.
The strategies employed by
popular search sites and engines are undeniably failing.
The web's incredible growth
rate puts almost insurmountable burdens on a search engines ability to
index newly encountered data as well as re-visiting older sites.
The result? Anyone who has
ever used a search engine knows the result: old, stale, misleading and
plain incorrect information rather than concise answers. This is further
distorted by "paid placements" where what you are given is what
someone has paid the search engine company to give you, irrespective of
the quality of the data with respect to the original search requirements.
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A search engine's
database can easily be weeks, months or even years out of date.
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There is virtually no
effort placed in the quality of the data retrieved by a search.
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The simplicity of a
search engine's web-based user interface almost totally eliminates
targeted searches.
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The "Boolean
operators" frequently used by search engines require users
to be technically savvy.
There is extensive talk
about "the deep web" and "the hidden web"
with an estimated (guesstimated?) 5 billion new pages of data. It's as if
the problem is a lack of information whereas the real problem is
the inability to deliver "Contextually Relevant Information"
(or, answers to questions)
Since information is
constantly moving around the web, the chances are very good that when you
return to some previously found information, it will have moved. Result,
you search again (the search companies like this, you get to see more
advertising).
Users want answers, not more data. Users
do not want to manually sort through "the first 25 matches of
38,542", they just want the answers that are relevant to their
current needs.
It's called "Contextual Relevance"
and since it's something that people encounter every day of their lives,
everyone is very familiar with it.
The jukeSPACE environment give users what
they want, read more in the overview.
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