A Google patent granted this week targets map spammers, who submit information about businesses to Google Maps, in a manner referred to as keyword stuffing.
The patent attempts to find words submitted by business owners as titles for businesses names that trigger a surprisingness value for combinations of words within a business title to determine whether a business listing is legitimate or fraudulent.
Traditionally, in Google Maps, the ranking signals used by business listings to include those businesses in search results depend upon their distance from a searcher, how prominent a business might be on the web, and how relevant the title for a business might be to the query used in a search to find the business.
When someone searches for a business. Google Maps may show off prominent businesses based on the searcher’s location. This patent targets people who might use that information to attract people to unrelated websites, by faking information in business listings. This patent targets people trying to take advantage of the use of well-known businesses located in a specific area:
As the story tells us, Larry Page shut the program down after being concerned over how invasive it was. It would offer phone owners notices in Google Maps seconds after they entered a store that had electronic beacons set up in their store. After reading about the cancellation, I thought to share the patent so that you could learn what that was about. The patent is:
On June 23, 2015 Uber Technologies assigned 9 patents to Microsoft, in a transaction that was recorded at the United States Patent and Trademark Office (USPTO) on August 18, 2015.
These patents and their abstracts are listed below, and they link to full copies; all of them are related to Mapping, which was an area that Microsoft was supposedly going to be outsourcing to other companies, including Uber. I haven’t seen anything anywhere else that explains this transaction or says anything about the cost behind it.
I tried making sense of it by looking at articles about Uber and Microsoft, but they seemed to show a good relationship between the companies:
A Google patent application published in the last week describes how Google might be using Mobile data from phones to map indoor spaces, combining the technologies behind Behavio, with traffic monitoring from Zipdash to better understand spaces that many people navigate through while carrying a mobile device that connects to the internet with wireless signals and carries sensor data that can indicate the location and movements of those devices.
The patent tells us that current approaches to determine indoor locations of mobile devices are based on interior scans of wireless access points. Theses scans could be used to build a database that can model an indoor space by determining locations of the access points and their corresponding signal strengths at those locations. To create a database like this, an indoor wireless location provider would have to conduct site surveys at selected locations.
We’ve all read about Google working to build self-driving cars, and I’ve written about Google building Google Maps programs to help people navigate to different places.
A Google patent application published this week takes a closer look at computers in cars, and the many sensors that are connected to those, and it discusses how automotive computing systems that include such things as:
…network based applications including navigation, voice search, media streaming capabilities, and the like.
The patent mentions On board diagnostics (OBD) standards in the automotive industry were made became available with engine computer systems that showed up in the 1980s.
A couple of interesting patent applications surfaced at Google recently, involving the use of photography in Local Search, to identify whether or not businesses actually exist, or might be closed, or might be Web Spam.
The first of these looks at Street Views images, and is:
Google finds terms and phrases to associate with entities that can be considered terms of interest for businesses, locations, and other entities. These terms can influence what shows up in search results and in knowledge panels for those entities. Consider it part of a growing knowledge base of concepts, entities, attributes for entities, and keywords that shape the new Google after Hummingbird. Semantics play a role as things that specific entities are known for are identified.
For example, the Warrenton, Virginia, Red Truck Bakery (local to me) is known for: