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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.

  • A search engine's database can easily be weeks, months or even years out of date.

  • There is virtually no effort placed in the quality of the data retrieved by a search.

  • The simplicity of a search engine's web-based user interface almost totally eliminates targeted searches. 

  • 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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