tanama

Conceptual web search

The intelligent cloud

Thus, computer systems will have greater opportunity to learn from the collective behavior of billions of humans. They will get smarter, gleaning relationships between objects, nuances, intentions, meanings, and other deep conceptual information. Today’s Google search uses an early form of this approach, but in the future many more systems will be able to benefit from it.

What does this mean to Google? For starters, even better search. We could train our systems to discern not only the characters or place names in a YouTube video or a book, for example, but also to recognize the plot or the symbolism. The potential result would be a kind of conceptual search: “Find me a story with an exciting chase scene and a happy ending.” As systems are allowed to learn from interactions at an individual level, they can provide results customized to an individual’s situational needs: where they are located, what time of day it is, what they are doing. And translation and multi-modal systems will also be feasible, so people speaking one language can seamlessly interact with people and information in other languages.

From Google Blog

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