A computer-implemented method for performing an analytic workflow process is provided. The method includes storing data from multiple input sources into a data storage pool, performing at least one analytic workflow executed by computing nodes, identifying data, by an analyzer module, expected to be required for a downstream analytic step. Thereby, the identified data have not yet been received in the in-memory database. The method also includes triggering a push module to move the identified data from the data storage pool to the in-memory database. Additionally, the method includes monitoring, by the analyzer module, output data of an analytic step and identifying pointers to additional data expected to be required for a downstream analytic step of a parallel analytic workflow process different to the analytic step of the monitored output data, and moving, by a push module, the data referred to by the pointers to the in-memory database.

Embodiments of the present disclosure include a platform for a resource provisioning system. The platform can execute big data analysis techniques to access-right data to generate statistics that characterize a set of users. For example, characteristics of users who access resources events can be analyzed with varying levels of detail. The access-right data can include access right assignments, and data identifying the users to which access rights are assigned. In some implementations, spatial management systems can access the platform to generate statistics for the resources.

An example operation may include one or more of receiving an identification of vendor resources held by each of a plurality of members of a social network, extracting respective preference information of the plurality of members from web pages associated with the plurality of members on the social network, automatically determining to exchange resources of a first vendor issued to a first member of the social network with resources of a second vender issued to a second member of the social network based on extracted preference information of the first and second members, and triggering execution of the exchange of resources via one or more blockchain computing networks associated with the social network.

Architecture that enables the detection of a user by a user device and interaction with content of the user device by the user before the user physically contacts the device. The detection capability can utilize one or more sensors of the device to identify the user and the proximity (distance) of the user to the device. Based on the user identity and the proximity, the device operates/functions in a certain way. Moreover, ongoing interaction can be enabled by recognition of a natural user interface (NUI) gestures, alone or in combination with other recognition techniques (e.g., speech recognition). Device activity can include causing the device to operate in predetermined ways such as power modes, application launching and manipulation to cause control of hardware and other software (local and/or remote) and, obtaining and presenting specific types of content (e.g., advertisements, notifications, messages, reminders, news, incoming communications, etc.).

Methods and systems are described for providing advertising services to devices with a customized adaptive user experience based on adaptive algorithms. In one embodiment, a system includes a storage medium to store one or more software programs and an adaptive decision unit coupled to the storage medium. The adaptive decision unit includes or is coupled to processing logic that is configured to execute instructions of at least one adaptive decision algorithm to obtain data for different variables including at least two of an advertisement (ad) engagement history for a user, application (app) engagement history for the user, and in-app purchase engagement history for the user when making an ad selection decision. The at least one adaptive decision algorithm determines an ad selection decision for at least one relevant ad or ad content served in an engaging manner to a device of the user.

Systems and methods for presenting a message to a user via a user's computing device are configured to cause the message to be presented to the user while the user's computing device is not connected to the Internet. In part, this is accomplished by setting up a trigger condition for presentation of the message, where the trigger condition is that the user's computing device is not connected to the Internet. Information about the message and the trigger condition are delivered to the user's computing device in advance of when the user's computing device becomes disconnected from the Internet.

A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.

Machine learning (ML) can be used to gather data on prospective customers from publicly available online sources. The ML can provide data on a likelihood of near future, customers and subscribers and a list of people with low interest in the company's products. The ML system can be recursively updated as new public data becomes available online. Thus, the ML system can be used to generate targeted advertising and root cause analysis based on a relationship between people's statuses and their respective interests in certain products and/or services.

The present disclosure provides a resource presentation method, a resource presentation apparatus and a storage medium. The method includes: acquiring (320) image data for a selected time period, wherein the image data contains at least one human object; determining (340) whether the image data contains at least one target human object; selecting (360) at least one target resource from a resource list based on a characteristic attribute of the human object or the target human object; controlling (380) a presentation mode for presenting the target resource based on a result of determining whether the image data contains at least one target human object.

A system for procuring feedback from user when displaying content. The system implements operations for selecting a feedback mechanism based on prior user interactions with the feedback mechanism and other feedback mechanisms. The system uses the user responses to the feedback mechanism to better target content to the user and better determine which feedback mechanisms will provide the most valuable information over time.