November 27th, 2011 
Admin
Search engines usually return result of a search on the basis of the ranking of the page, which is further dependent on the occurrence of keywords and corresponding linking of that page over the web. In other words, a search of a certain specific topic consisting of some common words might give a result ranging in thousands of web pages. Thus, for any organization engaged in SEO services, the primary objective is to make the ranking higher so that the desired page comes at the beginning of the result set.
With the conventional searching, it is tough for a user to get the desired result out of the millions of pages over the web. Since of ambiguity in searched terms and overall promotional activities on web, the actual data is far more typically missed by the user. Concept search method, as predicted by top SEO expert, may possibly resolve this scenario to a greater extent.
The idea behind concept searching is based on the ‘topic’ searched rather than the individual keywords used. Instead of returning a result set consisting of nearest matched keyword occurrence, the concept search tries to formulate a topic out of the keywords and search accordingly. The outcomes consist of pages depending on the concept formulated out of the keywords and thus, it minimizes the chances of missing relevant info.
The methods of concept searching are:
Manual technique: In this model, customized semantic networks and thesauri are used where a query is formed out of the keywords entered and the result is returned accordingly. Even so, since of the limitations of maintaining thesauri and semantic network (limited budget is allocated for any campaign by an SEO firm ) this method might not be successful.
Mathematical or automated model: This technique uses Bayesian approach, semantic indexing and context vectors from neural networks. This method finds out the matched and inherited patterns out of the searched keywords and builds a data interpreter. The model further looks for the most relevant information in the resulting patterns and finally gives the desired result.
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