shapangfhwsf 發表於 2024-3-12 14:07:39

In one word a perfect index

The thesis was the assumption that direct links will always have an impact on the positions of pages in the Goggle  index there is no other objective method to measure the value of a page other than the quantity and quality of links leading to it. According to Tomeks forecast only the weight of traffic generated by links was to change in the future . In recent weeks Tomeks words have taken on a completely different more real dimension.Lets try to break away from reality for a moment and imagine the perfect search engine.

In my imagination a picture of a fully web . search engine emerges in which the users themselves decide about the search results they recommend each others websites articles documents add comments and opinions about the found websites.This vision of the search Brazil Telegram Number Data engine was presented some time ago by Jimmy Wales the creator of Wikipedia who intends to build a new search engine alternative to Goggle  and Yahoo The new search engine . is to be a combination of open software for searching websites and human intelligence which will ultimately organize the search results. On March the WikiSeek search engine was launched which is said to beengine of the new Wikipedia search engine.

https://static.wixstatic.com/media/c6806f_f85ecaa82e674445a2632d04a08d797f~mv2.jpg/v1/fill/w_704,h_434,al_c,q_80,usm_0.66_1.00_0.01,enc_auto/c6806f_f85ecaa82e674445a2632d04a08d797f~mv2.jpg

Ideal search results would consist only of valuable spamfree pages and the ranking would be determined among others by through the same processes that we can currently observe on Digg and Wykop. In this utopian vision there would be no room for website positioning the dream of many Internet users. Is it possible to implement Scale Effect Everything indicates that Goggle  engineers know perfectly well what element is the most difficult to falsify on the Internet. It is a huge number of unique users which is simply the effect of the huge volume of Goggle  users. Attempts to manipulate search results using user traffic research algorithms are made.
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