This approach is said to be 100 times more efficient than previous approaches so that it doesn't consume massive computer resources.
When searches are ambiguous with multiple possible interpretations, traditional search engines use impersonal techniques, while this process looks at a user's most recent searches to help interpret the current search.
It looks beyond the words used in a search to associated concepts to determine the context of a search.
The more recently a concept has been associated with a search, the more weight it is given when ranking results of a new search.
Search engines have also tried to identify patterns in user clicking behavior on search results to identify the most probable user intent for a search.
However, such techniques are impersonal and are applied on a global basis.
Dr. Kemafor Anyanwu, an assistant professor of computer science at NC State and senior author of a paper on the research, said the latest technique includes new ways to represent data, new ways to index that data so that it can be accessed efficiently, and a new computing architecture for organizing those indexes.
--ANI (Posted on 19-09-2013)