查看更多>>摘要：Reporters obtained the following quote from the background information supplied by the inventors: “BACKGROUND OF TECHNOLOGY “Typically, social networking of users online and in-person is performed by the users finding each other’s profile and agreeing to connect. Meeting, whether onl ine or in person, is often performed by agreeing to meeting and deciding on a pl ace and time.” In addition to obtaining background information on this patent, NewsRx editors a lso obtained the inventors’ summary information for this patent: “SUMMARY OF DES CRIBED SUBJECT MATTER “Embodiments of the present disclosure include a method for social networking re commendations based on Internet-of-Things sensor data. The method comprises: det ecting, by at least one processor for at least one Internet-of-Things (IoT) devi ce associated with a particular location, a device signal associated with a user device of a user; determining, by the at least one processor, a user profile as sociated with the user device in response to the device signal; accessing, by the at least one processor, at least one user attribute stored in the user profile ; determining, by the at least one processor, at least one other user profile as sociated with at least one other user device detected by the at least one IoT de vice associated with the particular location; extracting, by the at least one pr ocessor, at least one other user attribute stored in each other user profile of the at least one other user profile; utilizing, by the at least one processor, a trained profile similarity machine learning model to determine a similarity mea sure between the user profile and the at least one other user profile based at l east in part on: the at least one other user attribute stored in each other user profile of the at least one other user profile, and the at least one user attri bute stored in the user profile; determining, by the at least one processor, at least one similar other user profile of the at least one other user profile base d at least in part on the similarity measure; determining, by the at least one p rocessor, a meet-up point occupancy of each meet-up point at the particular loca tion based at least in part on a record of the at least one meet-up point; deter mining, by the at least one processor, at least one open meet-up point based at least in part on the meet-up point occupancy; and generating, by the at least on e processor, a meet-up recommendation indicating: a particular open meet-up poin t of the at least one open meet-up point, the user profile, and the at least one similar other user profile; and instructing, by the at least one processor, the user device of the user and the at least one other user device of at least one similar other user to display a graphical user-interface element presenting the meet-up recommendation so as to configure the user device and the at least one o ther user device to be direction aids when the user selects to a meet-up at the particular open meet-up point with the at least one similar other user.
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