Imagine that a search engine might insert place markers into a web page, perhaps with the use of something like the new Google Tag Manager? These markers could enable a search engine to calculate how long it might take someone to read that page. A newly granted patent from Google describes why they might insert such markers (without really telling how how it might insert those), to determine the reading speed of a page.
The process described by the patent might try to understand how different features associated with a page might cause it to take less time or more time for a visitor to read a page. It would then use that understanding to predict how such features might influence the reading of other pages that don’t have markers inserted into them. These types of features could include language, layout, topic, and the length of text of those documents. These are all things that could affect traffic across the web or at specific websites.
Some days Google seems like it’s more of a science fiction factory than a search engine, developing products like driverless cars, and augmented reality glasses. An academic project at Berkeley adds another element to the mix – Robots. Robots that can help pick up commonplace objects around your home, and put them in their proper places.
A paper submitted to the IEEE International Conference on Robotics and Automation, to be held in Karlsruhe, Germany on May, 2013, describes the role that Googles visual search queries plays in helping robots understand the objects that they might try to pick up, before they do. In Cloud-Based Robot Grasping with the Google Object Recognition Engine, we’re told about cloud-based robots that can view objects, and send queries about them to version of Google Goggles on the cloud to learn more about those objects and the best way to grasp them.
Google Goggle’s is Google’s visual search app, which enables you to take photographs and send them to Google to potentially perform facial recognition searches, OCR searches for text in images, product and bar code recognition, recognizing landmarks and places and named entities, and more. I spent a few hours at my Mom and Dad’s house a couple of weekends ago taking pictures of almost every photo and painting they had on their walls, and seeing if Google Goggles recognized any of them.
Another feature that the visual search engine is capable of is recognizing objects, and the Berkeley team, with the assistance of James Kuffner of Google, appears to have achieved a goal that had eluded them in the past with the use of Google Goggles. From the paper’s introduction:
Google’s local search may be getting smarter one streetview scene at a time. A few years back, I jokingly made a robots.txt sign for my front door that had the following statement in it:
In the root level directory of a website, a robots.txt file containing those two lines would tell Google’s page crawling program not to index any pages from the site. On the front of a home in my small town, it might have gotten some odd looks, but that’s about it. I had expected at some point that Google would send a streetview car or two down my street, and I would have been able to write a blog post with a streetviews image of the front of my house with a title along the lines of “Google Ignores Robots.txt File: Indexes My House.” I ended up not leaving the sign up, but I’m second guessing that now that I know streetviews cars can read.
That really shouldn’t have been a surprise back then. I wrote a post in 2007 titled Better Business Location Search using OCR with Street Views which described how Google might use OCR to gather information from signs it takes video of for street views. The patent filing I wrote about really didn’t discuss how that information might be used, but it presented the possibility of its use. I suspect my real life robots.txt file would have been ignored back then, though the drivers of those cars had learned at that point that signs like “Private Street” and “Military Base,” were areas they couldn’t film.
Google was granted a patent last week that gives us a look at how information from street level signs might be collected and indexed by Google, and compared to online information about the same locations to try to “calibrate” and “score” any information about the places being listed in Google’s index. Here’s an image from the patent that shows at a glance the kinds of information it might attempt to read:
I’m on the second day of a trip to New York City, giving presentations at SMX East on both the potential impact of mobile devices to the future of search, and on how reputation and authority signals might impact the rankings and visibility of authors and publishers and commentors on the Web.
My first presentation was in the “local and mobile” mobile track of the conference as part of a session titled “Meet Siri: Apple’s Google Killer?” where I joined Bryson Meunier, Will Scott, Andrew Shotland, and moderator Greg Sterling in discussing the potential impact of Apple’s Siri and voice search on SEO and search.
When I read the title for this proposed session a couple of months back, I couldn’t help but start to draft a pitch to join in on the conversation. I’ve been carefully watching patents and papers from Google and Apple and others about inventions and interfaces that might transform the way we search in the future, and the way that people might share information and market businesses online.
Google was granted a patent this week on the use of personas or pseudonyms in social networks today, with the patent originally filed a little less than a year ago. The patent explicitly points at Google Plus as an example of a social network that processes in the patent could be applied to. The patent doesn’t grant Google the ability to let people use pseudonyms in social networks, but rather that a pseudonym could be presented as someone’s name based upon their choices of who would see that name or their “real” name.
A newly published patent application from Google describes how a combination of different types of Google generated profiles associated with a searcher might influence the results that they see. The description in the patent filing is substantially the same as some I’ve written about in the past involving personalization from Google, in my 2006 post Google Personalization Methods.
But I couldn’t help but think of the role that Google Plus might play in personalized search from Google as well, while reading through the patent. Is information from my Google Plus profile used in personalization? Is other Google Plus information part of personalized search?
A series of Google patent applications describe the use of an electronic textbook reader application that makes using an electronic textbook a much better experience than just reading a book on a screen.
I remember lugging around a lot of books while traveling to classes on foot or my bicycle, or even while driving to law school. As an English degree undergraduate, I got away with buying a lot of my books for literature classes from a used book store (I probably left with a few hundred dollars in trade-in credit). Many of those were paperbacks that didn’t put a burden on the backpacks I wore out in those years, but many others were weighty volumes. Especially the texts from law school. I couldn’t carry all of my law school texts at the same time if I wanted – they just took up too much space.
Google published 6 patents last week that cover different aspects of the use of electronic textbooks that attempt to capture some of the benefits of using real books while adding new value to the use of electronic texts. As the first patent I’ve listed notes:
I noticed earlier today that deCarta transferred 7 patents to Google in an assignment reported at the USPTO as being executed on July 31st and recorded with the patent office on August 28th. The patents are all older, orginally filed in 2000 through 2002. There are still 56 pending and granted patents on the USPTO site listed as assigned to deCarta at the patent office.
While the patents in this transaction are older, they still likely be relevant today to a company providing location-based services to mobile phone users. They involve such things as sharing of GPS-based (or other technology-based) locations among users and even connecting users based upon their locations. Another patent involves triggering a location based service such as receiving a notification when within a certain distance from a place such as a favorite restaurant. An additional patent involves sending advertisements to people as they approach specific businesses.