Human Search Engine

Human Search Engine or Human based search engine is a novel concept that is being used by search engine sites in order to filter the sites that contain the content relevant to what the user is looking for. In this case, human intervention or help of human beings is taken in order to filter the most relevant content from millions of automatically generated sites.

Human based search engines are a rather intensive way to combat link spamming, content spamming, content crowding etc. These things lead to deterioration of the quality of the content as far as relevancy was concerned. Human based search engine provides the users with limited number of useful sites as against the millions of sites that may or may not relate to the topic the user is looking for.

The searchers define a criteria and on the basis of those criteria they filter the websites that contain appropriate content and make sure to include them in the top listings of the search results. This is done for the purpose of ensuring good quality content to the users.

Examples of human based search engine are Jumper 2.0, Sproose, ChaCha Search, Mahalo.com. Does the proliferation of Human based search engine mean that the importance of automated search engines and the SEO process experts will suffer? Not at all. In fact, the human based search engines are becoming equally popular as the other SEO techniques, when it comes to increasing the rank of a good page in the search engine listings.

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