Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. One method includes an operation for training a machine-learning program to generate a frequency model that determines a frequency for sending communications to users. The training utilizes training data defined by features related to user information and responses of users to previous communications to the users. The method further includes determining, by the frequency model and based on information about a first user, a first frequency for the first user. The first frequency identifies the number of communications to transmit to the first user per period of time. Further, the method includes operations for receiving a communication request to send one or more communications to the first user and determining send times for the one or more communications to the first user based on the first frequency. The communications are sent at the determined send times.

Methods and systems are provided herein for recommending a media asset based on a geographic location at which that media asset was frequently consumed. For example, the system may monitor a location, such as New York City or Times Square, to determine popular media assets watched there, such as “The Avengers,” and when another user visits New York City, the system may then notify the user that the movie, such as “The Avengers,” is associated with New York City. The system stores the geographic locations associated with the media asset in the database based on the consumption of the media asset so that other users may be notified which media assets are associated with each geographic location.

An automatic door system is configured to allow a signal to unfailingly reach a smartphone or the like carried by a customer in various places. The automatic door system includes a BLE module configured such that, in a predetermined direction from a surface of a door, a signal that contains information based on which the BLE module can be identified transmitted from the BLE module reaches an area beyond a person sensing area covered by a sensor.

A portable billboard is presented including a portable media projection subsystem to selectively project media and to supply an enablement signal in response to the media being projected. A location device supplies a geographic location of the media projection subsystem. A verifier receives the enablement signal and the geographic location, and supplies verification information responsive to the media being projected from a stationary location for a predetermined minimum duration of time. A communications subsystem receives verification information and either stores the information for subsequent downloads, or transmits the information to a central controlling server. A targeting subsystem permits an entity to select a target stationary location from a plurality of value weighted target stationary locations. The targeting application typically provides a reward in response to a value of the selected target stationary location.

Technologies are generally described for context sensitive display of final delivery information on a consumable delivery vehicle with enroute preparation. A controller may manage fulfillment of orders while the vehicle is enroute by controlling an operation of one or more on-board preparation equipment. The controller may also receive order status information and travel information associated with final delivery destinations. Once the vehicle is at its destination to be used as a hub for final deliveries, one or more displays on the vehicle may display final delivery information to final delivery people based on the status information and the travel information.

According to an embodiment, an image display device includes: a display; a memory storing one or more instructions; and a processor executing the one or more instructions stored in the memory, wherein the processor executes the one or more instructions: to determine whether it is a recommended time for outputting advertisement content, from a user's log data, based on a first trained model using one or more neural networks; to determine a recommended attribute of an advertisement display region from the user's log data, based on a second trained model using the one or more neural networks, when it is determined that it is the recommended time for outputting the advertisement content; and to adjust an attribute of the advertisement display region based on the determined recommended attribute and control the display to output the advertisement content in the attribute-adjusted advertisement display region.

A system and methods for facilitating transactions relating to slots in a content promoter's performance. The system allows content promoters to publish available slots in their performances and receive submissions from artists requesting their content be presented in those slots. The system facilitates transactions between promoters and artists using an escrow and “proof of play” system. The escrow system charges an artist in advance for content submitted to be presented, but holds payment of those charges until after the promoter has presented the content and proof of play has been confirmed. Proof of play may be directly confirmed by the artist, may be confirmed by the system, or may be provided to the artist in an audiovisual recording made by the promoter. The escrow and proof of play system helps protect promoters and artists against potential default by either party to the transaction.

A conversion timing model is model is configured to predict a likelihood of conversion based on an entity's elapsed time since a qualified entry event and based on a funnel state. The conversion timing model is constructed based on a distribution of the conversion timespans of converters. A notification of an opportunity to expose a candidate entity to networked content is received. A time-based likelihood of conversion for the candidate entity is determined by applying the conversion timing model to the elapsed time. A response to the notification based on the likelihood of conversion for the candidate entity is prepared based on the time-based likelihood of conversion and based on the funnel state. Timely responses may include the selection of customized content or bid values.

A system for engaging customers is disclosed, where the system is configured to receive information related to a plurality of offers provided by a plurality of entities, the information comprising one or more of location rules, time rules, and offer details; receive geolocation information from a user device; identify, from the plurality of offers, at least one offer, wherein the identifying is based at least in part on the geolocation information and the information related to the plurality of offers; obtain one or more first information comprising information related to one of the at least one offer; display the one or more first information, wherein the one or more first information further comprises information provided by at least one entity; select a first offer, wherein the selecting comprises sending a request for viewing, booking, and/or purchasing the first offer; and receiving an acceptance for the first offer.

Aspects of the subject disclosure may include, for example, presenting, by a processing system including a processor, a first portion of a creative, transmitting, by the processing system, an indication of a user response to the first portion of the creative, transmitting, by the processing system, an identification of the processing system, receiving, by the processing system and based on the transmitting of the indication of the user response and the transmitting of the identification of the processing system, a second portion of the creative, and presenting, by the processing system, the second portion of the creative. Other embodiments are disclosed.