Robin Li Quotes

Despite the metadata attached to each tweet, and despite trails of retweets and 'favorite' tweets, the Twitter corpus lacks the latticework of hyperlinks that makes Google's algorithms so potent. Twitter's famous hashtags - #sandyhook or #fiscalcliff or #girls - are the crudest sort of signposts, not much help for smart searching.

That is really not much different from the search engines that are being constructed today for users throughout the entire world to allow them to search through databases to access the information that they require.

There are a lot of services trying to solve the information discovery problem, and no one has got it right yet.

Relevance is a search engine's holy grail. People want results that are closely connected to their queries.

Computers ought to help people find their own best path through lots of textual information.

We want Google to be the third half of your brain.

Search is essential to every service that Yahoo offers.

There's nothing that cannot be found through some search engine or on the Internet somewhere.

I thought of the idea of Summly in March or April 2011. I was 15 years old and I was revising for some kind of history exam. The problem was I was trying to find information that was useful to me. When you type into Google an esoteric term, you get quite a lot of stuff that's not relevant.

Search as a paradigm will continue to be probably even increasingly important because the information that's out there is only going to grow exponentially - and the only way to sort through all that is by some form of search.

Enterprise search is becoming an indispensable tool to businesses of all sizes, helping people to find, use and share critical business information quickly.

Google is all about information. So the notion of using and presenting information in the right point at the right time to users is what, in essence, describes Google.

If we want to take a bunch of phrases and run them through a Google and say 'Hey, who else has said them,' I can come up with the list in five minutes.

Anything we can do that lets people find information more quickly is something we're interested in.

Without your data, Google couldn't pursue the dream of trying to figure out what you're really thinking when you're asking a question, of trying to discern, from the imprecision of your language, the exact answer you're looking for.

Any child can tell you what Google does - Google gives you the answers. But Google doesn't, not really.

Scientists need the infrastructure for scientific search to aid their research, and they need it to offer relevancy and ways to separate the wheat from the chaff - the useful from the noise - via AI-enabled algorithms. With AI, such an infrastructure would be able to identify the exact study a scientist needs from the tens of thousands on a topic.

When you look at Google, its job is to find you the perfect web page. There are a lot of cases when you want to know something and a list of websites isn't ideal.

Google is where we go for answers. People used to go elsewhere or, more likely, stagger along not knowing.

A search is a search, even if it happens to disclose nothing but the bottom of a turntable.

Google transformed the way most of us get our information with a search engine that enables us to find citizen-created media content alongside the work of professionals.

It turns out a human being in two, three or four hours can build a search result that's much better than Google, Yahoo or Ask.

Search is an unsolved problem.

We want to make sure the thing you're looking for is on Google 100 percent of the time.

I actually think most people don't want Google to answer their questions. They want Google to tell them what they should be doing next.