Microsoft scientists have some new thoughts when it comes to search ranking and retrieval accuracy. New techniques for analyzing search relevance--the way users browse and click through specific content--can improve the algorithms used to rank results, according to two papers submitted by a group of Microsoft researchers.
"Most search engines today use a somewhat two-dimensional approach, matching user queries with the content and link structure of Web pages to return a list of results. We're looking at how to add a third dimension--the users themselves--to improve the search experience," said Eugene Agichtein, a researcher in the Mining, Search and Navigation Group within Microsoft Research.
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"Most search engines today use a somewhat two-dimensional approach, matching user queries with the content and link structure of Web pages to return a list of results. We're looking at how to add a third dimension--the users themselves--to improve the search experience," said Eugene Agichtein, a researcher in the Mining, Search and Navigation Group within Microsoft Research.

Then sort the results according to the average rating.
You don't need to rate everything. Only the results you clicked.
If you visited 20 links and 5 of them were useful, rate them and they will be placed higher for future users.
And if they were bad they will "disappear".
We need an Open Source search engine tbh...
The sites that I visit and what I download is already logged with the time and date stamp at my ISP anyway. If a search service can use that data and actively give me more specific and clear-cut results, then I see that as a good thing.
With an independent study performed by VistorVille Intelligence (internet tracking company)...66.3% of Microsoft employees use Google over their own search engine. Must really feel good to the development team for MS Search to walk by more than half of MS's employees and see them using Google.
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