In the post, the author (Chuck Rosenberg) tells us how they improve image searching at Google by labeling images with entities, rather than text strings. The entities they used are entities that you would find at a source such as Freebase. He tells us that they use Freebase Machine ID numbers for those labels:
As in ImageNet, the classes were not text strings, but are entities, in our case we use Freebase entities which form the basis of the Knowledge Graph used in Google search. An entity is a way to uniquely identify something in a language-independent way. In English when we encounter the word “jaguar”, it is hard to determine if it represents the animal or the car manufacturer. Entities assign a unique ID to each, removing that ambiguity, in this case “/m/0449p” for the former and “/m/012×34” for the latter.
Advertising on the Web is going through some changes because of how smart phones and tablets track visitors on a site, and how advertisements may broadcast high-frequency sounds that may act as audio watermarks that other devices can pick up upon. Imagine watching TV, and your TV broadcasts a high-frequency sound from an advertisement that your phone hears, and shares with the advertiser, who may then track whether you search for or purchase the product offered on a web site?
A couple of months ago, I wrote about a Google patent that involved rewriting queries, titled Investigating Google RankBrain and Query Term Substitutions. There’s likely a lot more to how Google’s RankBrain approach works, but I came across a patent that seems to be related to the patent I wrote about in that post, and thought it was worth sharing and starting a discussion about. The patent I wrote about in that post was Using concepts as contexts for query term substitutions. The title for this new patent was very similar to that one (Synonym identification based on categorical contexts), and the more recent patent was granted on December 1st of this year.
The new patent starts off describing a scenario that is a good example of how it works. The inventors tell us:
Googlebot Doesn’t Read Pictures of Text During Web Crawls
When I was an Administrator at Cre8asiteforums (2002-2007), one of my favorite forums on the site was one called the Website Hospital. People would come with their sites and questions about how they could improve them. One problem that often appeared was people having problems being found in search results for their sites for geographically related queries. One symptom for many sites experiencing that problem was that the only time the address of their business appeared on the site was in pictures of text, rather than actual text. This can be a problem when it comes to Google indexing that information. Google tells us they like text, and can have troubles indexing content found within images:
Google’s web crawler couldn’t read pictures of text, and Google wasn’t indexing that location information for their sites’ because of that. Site owners were often happy to find out that they just needed to include the address of their business in text, so that Google could crawl and index that information, and make it more likely that they could be found for their location.
Under this new patent, Google adds a diversified set of trusted pages to act as seed sites. When calculating rankings for pages. Google would calculate a distance from the seed pages to the pages being ranked. A use of a trusted set of seed sites may sound a little like the TrustRank approach developed by Stanford and Yahoo a few years ago as described in Combating Web Spam with TrustRank (pdf). I don’t know what role, if any, the Yahoo paper had on the development of the approach in this patent application, but there seems to be some similarities.
An authoritative user is a user of one or more computer-implemented services (e.g., a social networking service) that has been determined to be authoritative (e.g., an expert) on one or more topics that can be associated with one or more queries
I read the patent Tuesday, and thought to revisit it after reading a post this morning by Mark Traphagen at Moz, titled Will Google Bring Back Google Authorship? It’s a good question and Mark brings up a fair amount of evidence to support the idea that they might bring back the concept of author authority in search results, even if they don’t bring back or rely upon authorship markup (adding a rel=”author” to a link to your Google+ profile from a page you write at, or linking to pages you contribute to from your Google+ profile). As Mark notes: