Provided are methods and systems for, in one aspect, managing content delivered to one or more devices. Methods may comprise receiving a first identifier associated with a user of content. The content may comprise one or more advertisement or placement opportunities. A second identifier may be determined based at least on the first identifier. The second identifier may be a perishable identifier configured to expire based on an event. The second identifier may be transmitted to an entity associated with an advertisement inventory, wherein the second identifier facilitates the targeted placement of one or more advertisements from the advertisement inventory without exposing the first identifier to the entity.

In some embodiments, a method analyzes a characteristic of a segment list for a user identifier, and compares the characteristic for the segment list to two or more thresholds. A storage type is determined for the segment list based on the comparing. A value for the segment list is stored using a storage type from a plurality of storage types based on the characteristic for the segment list meeting a threshold for the storage type from the two or more storage types. The method stores the value for the segment list in storage, wherein the value is stored based on the storage type.

Embodiments of a method for automatically generating, scheduling, posting, and recycling social media posts are disclosed, the method comprising: requesting an artificial intelligence (AI) engine for a plurality of prompts to create a social media post on a social media platform; selecting one prompt in the plurality of prompts returned by the AI engine; requesting the AI engine for social media post content based on the selected prompt; selecting a textual content and a non-textual content; combining the selected textual content and the selected non-textual content according to pre-configured settings to create one social media post; repeating selecting the textual content and the non-textual content and combining, to create a plurality of social media posts; generating a schedule for each one in the plurality of social media posts; and automatically posting each one in the plurality of social media posts on the social media platform according to the schedule.

A system and method is provided for determining when an electronic correspondence is reviewed by a consumer, and referencing this information when generating a subsequent electronic correspondence. The information may be used to determine when to send the subsequent electronic correspondence to the consumer. For example, the subsequent correspondence may be sent at the same time of day as when the consumer is determined to have previously reviewed an electronic correspondence. The information may also be used to determine what to include in the subsequent electronic correspondence. For example, time-sensitive promotions that are selected based on the information identifying the previous time at which the consumer reviewed a previous electronic correspondence, may be included in the subsequent electronic correspondence.

A transaction-enabling system is disclosed. The system may include a controller to interpret a behavioral data source and a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task. The controller may then operate a machine to forecast a forward market value for a resource in response to the resource utilization requirement and the behavioral data source. The controller then adjusts an operation of the task system or executes a transaction in response to the forecast of the forward market value for the resource.

A system for improving distributed network data flow efficiency by using a machine learning model to engage a reduced set of unknown objects is disclosed. The system includes at least one processor, a communication interface communicatively coupled to the at least one processor, and a memory device storing executable code that, when executed causes the at least one processor to receive interaction data corresponding to interactions between known objects and unknown objects, develop an interaction map, develop a profile for each unknown object, process each unknown object using a machine learning algorithm to generate a reduced set of unknown objects most likely to reciprocate and identify properties of each unknown object, and trigger a communication to each of the reduced set of unknown objects.

A generating apparatus generates a set of gain vectors with respect to a transition model having observable visible states and unobservable hidden states and expressing a transition from a present visible state to a subsequent visible state according to an action, the set of gain vectors being generated for each visible state and used for calculation of a cumulative expected gain at and after a reference point in time, the apparatus including a setting section for setting, with respect to each hidden state, a probability distribution over the hidden states for selection used to select vectors to be included in the set of gain vectors from the gain vectors including a component for a cumulative gain, and a selection section for including, in the set of gain vectors, with priority, the gain vector giving the maximum of the cumulative expected gain with respect to the probability distribution for selection.

Various technologies pertaining to conducting auctions for display of electronic communications in display positions are described herein. An electronic communication has a predefined format, and further has an optional extension to the predefined format. The electronic communication participates in an auction, where an auction system takes the extension into consideration when computing a rank score for the electronic communication. Further, the auction system takes historic servings of the electronic communication, with the extension, to client computing devices into account when computing the rank score.

Methods and systems for performing non-linear optimization of reach are described herein. The methods and systems may be used to compute the reach associated with different advertisement campaigns involving different combinations of spots. The method includes computing probabilities that a user will access a certain spot. The method includes retrieving a weight associated with the targeted user demographic. The method includes computing a first reach value using a first non-linear function, and a second reach value using a second non-linear function. The method includes comparing the two reach values to each other and to a predetermined reach threshold. The higher reach value larger than the predetermined reach threshold is selected and information associated with the selected reach value is provided to the user.

A system and methods for an offer management system for use in delivering targeted marketing offers to consumers during a session with an online (web-based) Internet portal, such as an online banking portal of a financial institution. A component receives aggregated transaction data from a financial transaction system for use in creation of an advertising campaign. A component provides a marketing campaign interface that allows advertisers to define an advertising campaign by display of information derived from the aggregated transaction data indicating potential market segments defined by the advertiser, define a predetermined market segment, and define a predetermined targeted marketing offer for delivery to consumers under predetermined conditions. A component outputs the campaign data to the financial institution for delivery of the targeted marketing offer to consumers within the predetermined market segment in response to the predetermined conditions during online sessions with the portal.