“Information will include a summary of the size of the quake, a map of the affected areas, and tips to safely navigate the aftermath. Oftentimes, you really want to know whether you just felt a small earthquake nearby, or a larger earthquake farther away. The map will show areas that shook with various intensities (known as a shakemap), so you’ll be able to quickly assess the reach of the earthquake as well as its epicenter.”
But app indexing is not just Google introducing another corpus into its search engine. The mobile app-sphere is where people live these days — not so much the web. Google must be there. Huffman knows this. “Google should be the premiere place in user’s minds for finding apps, discovering great apps and finding the content and the capabilities inside of those apps,” he says.
The company faces challenges in doing this. For one thing, it had to figure out how to rank apps in search results. Google has endless experience ranking websites, but it has had to come up with new signals to identify the apps most likely to have the best information. (Apps with lots of downloads and high user rankings are more likely to have better information, and Google ranks the deep links within those apps more highly.)
Another potential hurdle is getting total buy-in from developers, who must not only allow Google to scrape their content, but actually do some work to make their apps integrate fully into Google’s scheme. This seems like a no brainer. After all, if the data in your app surfaces in a Google search result,users are more likely to use that app. What’s more, Google has started to give results from apps that are not installed on a user’s device. For instance, if you are searching for a recipe, Google might give you a deep link to a cooking app you don’t have. In those cases, there’s an opportunity to download the app. “So we actually are kind of promoting your app in line,” says Huffman.
Three steps to an answer: (1) holding and tapping the phone while “Blurryface” plays on Spotify and (2) asking Google who’s singing lead, will (3) surface the frontman of Twenty One Pilots. Note that at no point is the Google app or a browser involved
Brian Sommer writes at ZDNet about a new generation of content-rich recruiting tools
“At this time, Identified has some 1 billion profiles that employers can peruse. But, what I really like is the intelligence Identified has built into their search capability. For example, they know that some firms may call an entry level IT person a “consultant” while other firms call this position a “business consultant”, “Associate” or other name. When you do a search it uses its proprietary position nomenclature dictionary to find the widest set of potential candidates your firm should be cultivating relationships with and possibly hiring.”
see video below for more
and more from Brian
“Connect6 counts over 500 million profiles within its searchable database. Connect6 offers a mix of applications to its corporate customers. It will:
Search – Employers can search by prior employer, school attended, location, desired skills and more
Post – Connect6 uses its knowledge of social networks, job boards, discussion groups, etc. to send an employer’s job postings to these sites. This makes Connect6 work more like a two-way process rather than a straight-up search and contact tool.
Connect – Connect6 will connect the employer to prospective candidates. Connect6 will also provide social maps that clarify the connection between the candidate and the firm. “
The search engine, called the Drug Gene Interaction Database, includes 2,600 genes and 6,300 drugs that target them to make up 14,000 drug-gene interactions. An additional 6,700 genes are also included in the database because of the potential for finding a matching drug that interacts with them.
Before this innovation, researchers and clinicians sorted through clinical trial results, scientific studies and other sources of information one at a time to find the right information that could help them treat a patient. Now, these interactions are easy to investigate all in one place.
The database isn’t complete with either all possible drugs or genes. “There are genes that we haven’t yet found out their uses for, and the drug side needs more to target,” says Malachi. But this is the first time that known interactions have been put together in one database.
The point of Google Now is to give you answers without making you search
at all. One way it does this is by integrating with your Google
account, pulling calendar entries, restaurant directions, sports scores,
and more into a tidy at-a-glance package. If you’ve got a flight later
in the day, Now will keep your boarding information handy--and send you a
reminder of when you need to leave, factoring in real-time traffic data
between your location and the airport. On Android, it’s continually
running in the background, ready to be summoned up at any moment. And on
that platform, it’s tightly integrated with Google Search, not only
allowing you to ask for answers by text or voice but also learning from
those queries and serving up more relevant information to you based on
what you’re looking for.
Multiple companies are developing search businesses with a vertical (i.e., market) orientation. These businesses are becoming significant, and most of them do not belong to Google. This phenomenon is somewhat stealthy because these vertical search businesses usually don’t advertise themselves as “search”.
With a typical Google search, the objects we search for are web pages, with the connections (or graph) that help determine the pages that rise to the top primarily being links from across the web. Links, simple form, are like votes, helping Google decide which are the most popular pages to show for a particular topic.
With Facebook Graph Search, the objects we search for aren’t web pages but instead virtual representations of real world objects: people, places and things. The connections are primarily Facebook Likes. Did such-and-such a person like a particular photo? A particular doctor? A particular restaurant? Those likes are the ties that bind the information in Facebook together.
Another difference is the layers of searching or refinement that Facebook Search offers compared to Google. For example, a Google search can show you restaurants in San Francisco, a pretty much single dimensional view.
A Facebook search can show you restaurants in San Francisco liked by your friends. Or further, those liked by your friends who actually live in San Francisco, as opposed to those who live elsewhere. Or those liked by your single friends, your straight friends, your gay friends, your friends who work for a particular company….
Mark Zuckerberg, CEO of Facebook explains the new offering