Provided is a system for providing a shoe management service by using an O2O-based delivery business platform, the system comprising: user terminals for transmitting shoe management request events and receiving and outputting shoe collection times and shoe delivery times; at least one affiliated store terminal for setting the shoe collection times and the shoe delivery times by location or area and registering at least one employee terminal; and a shoe management service server including a receiving unit for receiving the shoe management request events from the user terminals, a selection unit for filtering for the at least one affiliated store terminal on the basis of real-time locations of the user terminals or addresses inputted therefrom, and a distribution unit for transmitting the shoe management request events to the affiliated store terminal obtained through filtering.

Provided is a system for providing a shoe management service by using an O2O-based delivery business platform, the system comprising: user terminals for transmitting shoe management request events and receiving and outputting shoe collection times and shoe delivery times; at least one affiliated store terminal for setting the shoe collection times and the shoe delivery times by location or area and registering at least one employee terminal; and a shoe management service server including a receiving unit for receiving the shoe management request events from the user terminals, a selection unit for filtering for the at least one affiliated store terminal on the basis of real-time locations of the user terminals or addresses inputted therefrom, and a distribution unit for transmitting the shoe management request events to the affiliated store terminal obtained through filtering.

A system and method are provided for improving product usage prior to refill of product dispensers in service areas that include a plurality of such dispensers. Via a sensor configured with each of the product dispensers and a control system in communication with the sensors, a product level or amount condition of product in each dispenser is detected. Based on the information from the sensors, a visual or audio message is generated and transmitted to the patron that encourages the patron to use a first product dispenser that has a greater product fill amount as compared to a second product dispenser in the same or a different service area.

A system and method are provided for improving product usage prior to refill of product dispensers in service areas that include a plurality of such dispensers. Via a sensor configured with each of the product dispensers and a control system in communication with the sensors, a product level or amount condition of product in each dispenser is detected. Based on the information from the sensors, a visual or audio message is generated and transmitted to the patron that encourages the patron to use a first product dispenser that has a greater product fill amount as compared to a second product dispenser in the same or a different service area.

A device maintenance support system proposes, among a plurality of devices installed, a maintenance target device and a maintenance timing. The device maintenance support system includes an information acquisition unit and a running cost prediction unit. The information acquisition unit acquires, from the devices, device identification information and device information including parameters that change according to performance deterioration of components of the devices. The running cost prediction unit predicts an increase in a running cost due to the performance deterioration of components of the devices. Among combinations of the devices on which maintenance may be performed and the maintenance timing, the maintenance target device and the maintenance timing thereof for which a total cost is lowest are proposed. The total cost is a sum of the increase in the running cost of all the devices and the maintenance cost incurred for the maintenance target device.

The invention relates to a method for generating dynamic information content of a people transport system. The method comprises: receiving an information content request from a terminal device, obtaining status information representing the current status of at least part of the people transport system from a server system, generating a document map comprising references to one or more information content topics based at least on the obtained status information, retrieving the one or more information content topics referred in the document map, generating the dynamic information content based on the retrieved one or more information content topics from the server system, and providing the generated dynamic information content to the terminal device. The invention relates also to a computing unit, a system, and a computer program.

A POI popularity derivation device (10) includes: a dictionary generation unit (11) that assigns a feature word used as a co-occurrence word of a POI name to each popularity-assigned POI name serving as a popularity assignment target to generate a popularity-assigned POI dictionary in which a popularity-assigned POI name and a feature word are associated with each other; an extraction unit (12) that extracts posted data serving as a search target from posted data on the basis of predetermined criteria; and a popularity derivation unit (18) that searches for the posted data on the basis of a predetermined rule regarding feature words while referring to the popularity-assigned POI dictionary, to extract posted data linked to the popularity-assigned POI name, and derives the popularity of each popularity-assigned POI name on the basis of the number of pieces of extracted posted data for each popularity-assigned POI name.

A recommendation system includes: a first acquisition unit configured to acquire user history information; a calculation unit configured to calculate a use maturity representing maturity of use of a service for each of a plurality of users on the basis of the user history information; a second acquisition unit configured to acquire recommendation history information including target algorithm information and recommendation success/non-success information; a selection unit configured to select a target algorithm on the basis of the recommendation history information of a user group having a use maturity corresponding to the use maturity of the target user among the plurality of users; and a recommendation unit configured to determine a content to be recommended to the target user using the selected target algorithm and output information representing the determined content.

A notification control apparatus (2000) acquires video data or audio data for a plurality of persons (10) (a human group (40)) who have a conversation within a predetermined distance with each other in a surveillance area. The notification control apparatus (2000) determines whether or not the human group (40) is in a state suitable for receiving a notification using the acquired data. When the human group (40) is in the state suitable for receiving the notification, the notification control apparatus (2000) issues a predetermined notification.

A display device includes: a biological sensor configured to detect biological information of a user; an output-specification determining unit configured to determine a display specification of a sub-image to be displayed on a display unit based on the biological information of the user; an output control unit configured to cause the display unit to display the sub-image in a superimposed manner on a main image that is visually recognized through the display unit and based on the display specification; and an environment sensor configured to detect environment information of a periphery of the display device. The environment information includes location information of the user, and the biological information includes brain wave information of the user. The output-specification determining unit is configured to determine display time of the sub-image per unit time as the display specification based on the location information and the brain wave information.