earch engines look for in solving this problem. I typed
matches between keywords the words "john smith" in
the user enters and words Vivisimo and got the following
in the retrieved documents. list:
If you got any result for your "John smith" (205)
query it means that the result is Captain John Smith (50)
the right one and that there is Pocahontas (23)
such a match. Colony (12)
New England (9)
In everyday life when you Coach (7)
communicate with human beings and Scotland (7)
ask a question - the moment you University (7)
get the right answer you are Texts (7)
satisfied and your quest is Collection (8)
finished. With search machines Real estate (6)
getting the right answers might
be only the beginning of the I hope that this illustration
quest. helps you understand how
complicated is this issue and
There are close to 135 million what are we dealing with when we
right matches for the words John talk about relevance of search
Smith in Google. Putting these engines. All search engines are
words in quotes reduces this very good at finding unique words
number to 3,590,000. We assume like "laurel leaves" and all
that one or more of these are search engines are helpless when
relevant but how should we find they deal with problems like
out? "John Smith".
People say that clustering helps Between these two extreme
examples there is a gray area and flower shop it means that you
that's where you can see which need to refine your search.
search engine is better than the
others and in what feature. In b. The proximity of the
this area QTSaver has two paragraphs helps understand
advantages that might help decide quickly where you are. In seconds
if you are on a wrong track: you can read few paragraphs and
see if they talk about your
a. The leads are a list of subject or not. In a regular
special words that give you an search engine you need to read a
overview of the subject. If you few pages in order to arrive to
are looking for a dentist and the the same conclusion.
leads are telling you about a
About the Author:
Script writer, blogger and Inventor living in Jerusalem Israel. Invented Qtsaver, Web 2.0 microcontent engine that remixes text, two years ago. The site is on http://qtsaver.dynalias.com/ and the Blog is on http://qtsaver.blogspot.com/
Read more articles by:
Zeev Barkan
Article Source: www.iSnare.com
