American telecommunications company AT&T has applied to the U.S. Patent and Trademark Office to patent mapping the blockchain-based mapping system for social networks.
In the patent application AT&T describes a system based on the blockchain, which may include transaction history controller storing subscriber data for use in various purposes. The document also describes several specific cases, such as the creation and exchange of data, ideas and work proposals through virtual communities and networks.
Using this system, people will be able to track "microculture transactions" are current trends, their friends, and so on. In the patent application noted that this can be of great importance for e-Commerce, marketing and targeted advertising.
The document also says:
"Described here mapping platform for social networking can use a invariable and fixed properties of the blockchain technology to record, store and disseminate data about online transactions, performed in multiple social networking apps".
According to the application, the content creators retain ownership of their data disseminated through map platform:
"Instead of a transfer of ownership of blocks or data between users, the owner account in the social network maintains primary ownership of their data about online transactions. What is communicated by the account owner in the social network to other users of the map service remains its property".
In November, the U.S. Patent and Trademark Office issued a patent to the manufacturer print and digital copiers Xerox on blockchain-driven auditing system for electronic files. The technology offered by Xerox, will probably be able to identify changes to files, and track their change history. Due to the decentralized mechanism of verification, the system will have high resistance to unauthorized access.
In the same month, American Express has filed a patent application for a blockchain-based system to capture and transmit the image of a receipt. The filing describes how the system lets a user with a mobile device capture the image of a receipt. The system then, via “optical character recognition,” deciphers the image and matches it with “related records,” namely transaction history.