We need innovation in search engine technology. I wrote the following treatise:
Roughly 50% of searches end in unsatisfactory results according to recent market research conducted by Microsoft. What’s the problem? Is it that searchers do not know how to refine their key phrases in such a way as to yield better results? Is it that search engines just cannot keep up with the enormous amounts of data that makes its way to the Internet each and every day?
One can conclude from this that even though one half of all searches yield unsatisfactory results, most people are happy and willing to construct an ill-formed search phrase, click on a few results from the first page, click the back button and try again until they either find what they are seeking, decide to bookmark a few sites that may prove useful at a later date, or give up altogether at least until the next time they decide to start on that search path again. Some, Dr. Brown noted, even went back to the same search engine with the same search string hoping for different results. I think that’s called insanity…
There are refinement tools available to searchers today that have been available since searching the Internet became a significant part of our lives. Boolean search employs logical operators such as and, or, not, near, etc, is the first tool I learned when I was introduced to Google in 1999. Most people do not know about this tool and probably wouldn’t use it because they have no familiarity with symbolic logic. I rarely use Boolean logic in my searches, even though I studied symbolic logic in college and I understand how it could significantly improve relevance in my searches. I guess there I just enjoy the hunt and peck method that is commonly used by the searching populous today. Search engine arithmetic is available and like Boolean searching is rarely used most likely for the same reasons. Google has an advanced search tool with an easy to use graphical interface that it links to from the home page, Google.com. I would imagine that this page is largely underutilized.
Rather than teach people how to refine their search in a systematic and effective way, the web needs a search engine that guides the searcher down the refinement path to either one of two or both possible destinations:
A: The web page that meets their needs.
B: The specialized resource site or sites that will help them meet their needs.
Have you ever been in a grocery store looking for something as common and mundane as sauerkraut, thinking that you will find it in jars near the jars of pickles and upon arriving to the pickle aisle you discover it is not there? After searching all the possible aisles you think could contain jars of sauerkraut, you decide to swallow your pride and seek a clerk to locate it for you. You find out that they stopped stocking sauerkraut in jars at your local supermarket, but they keep it in bags in the refrigerated meats section near the meat counter. This is a little like the way we search the web isn’t it? We wander aimlessly looking for something using search queries that do not match that for which we are looking hoping to find it and when we don’t we try another ill-formed search query with the same hope and we repeat the process until we arrive at some resource on the web that helps us determine what we really should be using as a search phrase. Wouldn’t it be nice to have that information without all having to click through the first ten results and hit the back button 10 times for each bad search query?
What if you had the undivided attention of a friendly grocery clerk that knew your shopping history, your buying habits, your likes and dislikes, and your nutritional/dietary needs that through a series of questions about what you wanted to find, why you wanted it, would bring back everything on your shopping list and even a few things you wanted to find but did not even know existed or didn’t even know you wanted them until you saw them. Now that’s service! I think searching should be just as easy and rewarding. We have the technology to ascertain the “meaning” of words in their context. We also know how to build neural networks that mimic the functions, albeit inaccurately, of the human brain and “learn” from our interacting with us.
To conclude, we need search engines to act as personalized search assistants that would get to know through their use of artificial intelligence (AI) and through a learning process where it would see patterns that are unique to each searcher and use those in the search refinement process.
2006-08-05 04:38:50
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answer #1
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answered by Wharf Rat 2
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I think the development of the number zero (concept of zero/nothing) is crucial to the development of mathematics and eventually the basis of much science.
Before this concept was introduced by the arabs, the romans (nad western world) had no idea of how to use negative numbers etc.
Of course - no zero, no binary code ... the basis of computers and electronic memory...
2006-08-05 12:10:35
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answer #2
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answered by Orinoco 7
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