Facebook Graph Search will roll out more broadly to everyone who uses Facebook in U.S. English over the next few weeks. "Everyone using US English should start seeing their search box automatically updated," the comapny said.
"Graph Search results are personalized and unique for everyone, based on what has been shared with them. For example, if you search for "Photos of San Francisco," you'll see photos your friends took there and shared with you, as well as Public photos. This means if someone else does the same search, they're going to see different results because they have different friends, and different photos have been shared with them."
"As Graph Search rolls out more widely, everyone on Facebook will see a notice on their home page with a reminder about how to control what they share and with whom," it adds.
This follows a similar notice in December that highlighted new privacy tools to help people manage what they share on Facebook.
The company notes, that since initial beta release of Graph Search in January this year, over tens millions of people have used it, and it has made the following improvements to the product using its users' feedback.
Additionally, Facebook said, it is currently also working on making it easier for people to search and discover topics, including posts and comments. And, that it's working to bring mobile Graph Search soon.
- "Speed: Graph Search is faster - both at suggesting potential searches and displaying results
- Query understanding: Graph Search understands more ways of asking questions
- Results: Graph Search does a better job at showing the most relevant results first
- Interface: The search box is easier to see and use," informs facebook.
Also, USTPO in April, granted a patent to Facebook for Automatic Photo Capture Based on Social Components and Identity Recognition ('80), Preferred images from captured video sequence ('00), and Image selection from captured video sequence based on social components ('65).
The patent was filed in October of 2011 by Facebook and its employees Andrew "Boz" Bosworth, David Garcia, and Soleio Cuervo.
"The image capturing process may analyze frames of the sequence of video frames to identify…a place (e.g., Eiffel Tower, Golden Gate Bridge, Yosemite National Park, Hollywood), a business or an organization (e.g., a coffee shop, San Francisco Giants), or a brand or product (e.g., Coca-Cola, Louis Vuitton)."
Essentially, they "describe technology for looking at each frame of a video as if it were a photo. Detection algorithms can then be used to identify people, written words, brands, and landmarks through facial and pattern recognition."