An embodiment of a customer callback system operates by determining a call action indicating a customer to whom a representative is to speak. An identifier associated with the customer is determined. A plurality of computing activities corresponding to interactions between the computing device and one or more websites provided to the computing device over a defined period of time are retrieved. A pattern associated with when the plurality of computing activities corresponding to the interactions between the computing device and the one or more websites were performed is identified. The overlapping time of day is provided to the representative during which to perform the call action.

A charging station for an electric vehicle determines that a first person is in proximity to the charging station and identifies whether the first person is a user of the charging station. In accordance with a determination that the first person is a user of the charging station, the charging station provides, using a first mode for selecting content for users of the charging station, first content for display. The charging station determines that a second person is in proximity to the charging station and identifies whether the second person is a user of the charging station. In accordance with the determination that the second person is not a user of the charging station, the charging station provides, using a second mode for selecting content distinct from the first mode for selecting content, second content for display. The second mode provides content for non-users of the charging station.

A method for providing a content using the first screen of a portable communication terminal is provided. The method comprises the steps of: registering a first content as a content of interest; and providing a second content in the first screen displayed on a display unit when the communication terminal is switched from an inactive state to an active state. Here, the second content, which corresponds to a content related to the first content, is determined on the basis of the first content.

Methods, apparatus, systems and articles of manufacture to impute media consumption behavior are disclosed. An example system includes one or more media meters to obtain tuning data, one or more people meters to obtain viewing data, and one or more servers to, in response to a determination that a difference satisfies a first threshold, determine that a first subset of the tuning data associated with first panelist households having tuned to first media in a first area exhibits local bias, determine that a second subset of the viewing data associated with second panelist households having viewed the first media in the second area represents heavy viewing, and impute the second subset of the viewing data for the first subset of the tuning data in response to the second subset of the viewing data representing heavy viewing.

In one general aspect, a method can include identifying, by a computing device, a geographic proximity of an entity, establishing, by the computing device, direct short-range communications with the entity, the computing device and the entity being able to communicate with one another using a short-range communication protocol. The method can further include receiving, by the computing device, an indication that the computing device shares an identifier with the entity, and receiving, by the computing device, information relevant to the computing device regarding the entity based on the shared identifier.

A method for identifying a category of offerings can include receiving, by a data management platform (DMP) executing on a computing platform, user data for a user of an end-user device. The method can also include mapping, by the DMP, identifiers (IDs) from received user data for the user to a plurality of different categories of offerings, wherein a particular category of offerings of the plurality of different categories of offerings corresponds to a leading commerce stream executed by the user. The method can also include matching, by the DMP, the category of the leading commerce stream to a second category of offerings for a following commerce stream based on commerce data characterizing a plurality of commerce streams executed in a window of time. The method can further include providing, by the DMP, the second category of offerings.

A device may receive target user category data identifying a target user, daily user data associated with the target user, real-time user data associated with the target user, and content data. The device may convert the target user category data, the daily user data, the real-time user data, and the content data into embedded target user category data, embedded daily user data, embedded real-time user data, and embedded content data. The device may process the embedded target user category data, the embedded daily user data, and the embedded real-time user data, with a neural network model, to determine a real-time user state and may determine a real-time user memory score. The device may process the embedded content data, the real-time user state, and the real-time user memory score, with the neural network model, to determine a memorability score and may perform one or more actions based on the memorability score.

The illustrative embodiments provides a system, method, device, and platform for managing carbon credits utilizing tokens. Carbon credits associated with a unit of carbon emissions are received. The carbon credits are tokenized to create tokens associated with each of the carbon credits. The carbon credits are marketed to authorized parties. Transactions for the tokens associated with the carbon credits are performed. The transactions for the tokens are documented.

In one general aspect, a method can include identifying, by a computing device, a geographic proximity of an entity, establishing, by the computing device, direct short-range communications with the entity, the computing device and the entity being able to communicate with one another using a short-range communication protocol. The method can further include receiving, by the computing device, an indication that the computing device shares an identifier with the entity, and receiving, by the computing device, information relevant to the computing device regarding the entity based on the shared identifier.

A method for targeted advertisement includes transmitting a pre-filter to the user device, responsive to contextual information from a user device, to determine, using a processor, one or more inferences based on physical browsing information, collected at the user device, in compliance with one or more privacy policies of the user. The method also includes receiving one or more inferences determined by the pre-filter from the user device and transmitting one or more targeted advertisements to the user device based on one or more inferences.