System

A system comprising:

• a communication interface configured to communicate, via a packet-switched network conforming to at least one of a 5G, Wi-Fi, or Bluetooth communication standard, with a client terminal comprising a touch panel, a microphone, a speaker, a camera having a CMOS image sensor, and a display;
• a processor;
• a random-access memory;
• a memory storing a machine learning model comprising at least one of a decision tree, a random forest, or a neural network, and an emotion identification model;
• a database;
• and
• circuitry configured to:
• receive, via the communication interface, sensor data packets from a sensor network, the sensor data packets comprising occupancy status flags for a plurality of spatial units;
• store the sensor data packets in the database as a status tensor comprising feature values indexed by spatial identifiers;
• receive, via the communication interface, a query message from the client terminal, the query message comprising user attribute data;
• estimate an emotion of a user by applying the emotion identification model to at least one of voice data captured by the microphone or image data captured by the camera of the client terminal;
• compute, by inputting the status tensor, the user attribute data, and the estimated emotion into the machine learning model, a score vector comprising a recommendation score for each spatial identifier;
• identify a spatial identifier having a highest recommendation score in the score vector;
• and
• transmit, via the communication interface and the packet-switched network, a response message to the client terminal, the response message comprising the identified spatial identifier and causing the client terminal to present the identified spatial identifier to the user via at least one of the display or the speaker.

A method performed by circuitry of a system comprising a communication interface coupled to a packet-switched network, a memory storing a machine learning model comprising at least one of a decision tree, a random forest, or a neural network, and a database, the method comprising:

• receiving, via the communication interface, sensor data packets from a sensor network, the sensor data packets comprising occupancy status flags;
• storing the sensor data packets in the database as a status tensor comprising feature values indexed by spatial identifiers;
• receiving, via the communication interface, a query message from a client terminal, the query message comprising user attribute data;
• computing, by inputting the status tensor and the user attribute data into the machine learning model, a score vector comprising a recommendation score for each spatial identifier;
• identifying a spatial identifier having a highest recommendation score in the score vector;
• and
• transmitting, via the communication interface and the packet-switched network, a response message to the client terminal, the response message comprising the identified spatial identifier.