Over-Abundance of resources prevents user from retrieving the right information right away.
There are three information access paradigms that users undertake each time they need to meet particular information needs on the web hypertextual environment: Searching by surfing (or browsing), Searching by query and recommendation.
I was interested at the sentence “Studies show that users often start browsing from pages identified by less precise but more easily constructed queries, instead of spending time to fully specify their search goals”. That’s an undeniable truth, especially to me, because when I typed into the search bar, although I don’t think it’s language issue since I am not native-English user, It is not trivial to correctly type out what I originally meant. I believe it’s a problem brought usually by novice user of some aspect. And further, I think the familiarity level of certain object will decide the preciseness of the search goals. The more familiar you are with, the more immediately you can get your particular results back. For example, when I was coding in R, I wanted to use a certain package to do the string concatenate, then after typing string concatenation in R into search bar, tons of results were given back immediately, which was good. But it was too hard to identify the very page I was looking for, possibly for the reason that the letter “R” was everywhere in the hypertext space. So, the question raised to me was that how we do not be novice user even we are indeed. Is there a search engine that could refine the query and then search on the new query?
And the answer is yes, there is. So far as I know there actually is a patent named ” Systems and methods of refining a search query based on user-specified search keywords”. The patent was intended to refine user’s search query based on one or more data sources and loop this process until the user satisfied the customized search query.
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