Methods and systems for providing information associated with a location history of a mobile device to one or more applications are disclosed. A mobile device generates one or more location history records based on one or more locations of the mobile device, each location history record comprising one or more points of interest and a duration at the one or more points of interest, receives an information request from at least one application, determines a subset of the one or more location history records that meet criteria from the information request, determines a level of permission for the at least one application based on the information request and the subset of the one or more location history records, and provides information associated with the subset of the one or more location history records to the at least one application based on the level of permission.

Approaches provide for evaluating lift associated with supplemental content based on a synthetic exposure event. Users may be separated into groups of exposed users that have interacted with supplemental content and an unexposed group that has not interacted with the supplemental content. Users within the unexposed group may be ranked and sorted into a subset control group. The subset control group may be presented with synthetic exposure events that monitor conversions for the supplemental content in the same manner as the exposed group. Thereafter, conversion rates may be compared to determine the impact of the supplemental content.

Systems, methods, and computer-readable media (transitory and non-transitory) are provided herein for automated submission for solicited application slots. In various embodiments, a digital component source process executing on a first computing system may determine a device identifier associated with an application slot to be populated with digital component(s). The application slot may be solicited by a digital component liaison process executing on the first computing system or a second computing system. The digital component source process may retrieve application slot attainment parameter(s) associated with the device identifier. The application slot attainment parameter(s) may be generated based on location ordinal(s) associated with the device identifier. The digital component source process may determine, based on the retrieved application slot attainment parameters, a submission to populate the application slot with a particular digital component item. The digital component source process may provide the submission to the digital component liaison process.

Systems and methods for a framework for generating predictive models for media planning. In some aspects, control circuitry receives, from a database, reference data associated with a program. The control circuitry receives a future date for insertion of an advertisement during transmission of the program. The control circuitry determines a prediction period between a current date and the future date. The control circuitry determines whether the prediction period exceeds a threshold period. If the prediction period does not exceed the threshold period, the control circuitry selects a first type for a predictive model. If the prediction period exceeds the threshold period, the control circuitry selects a second type for the predictive model. The control circuitry trains the predictive model according to the selected type and based on the reference data. The control circuitry predicts, based on the predictive model, an average audience for insertion of the advertisement.

Electronic correspondence that includes one or more promotions may be generated for presenting to a consumer. In order to determine whether to present the electronic correspondence to the consumer, the promotions included in the electronic correspondences may be analyzed in terms of a probability the consumer will accept the promotions, a relevance level between the promotions and attributes of the consumer, a relevance level between the promotions and the consumer, a relevance level between the promotions and a set of goals or rules, among other similar terms. After the analysis, a determination may be made whether to send the electronic correspondence to the consumer. Similarly, the analysis may compare multiple electronic correspondences, and determine, based on the comparison, which of the multiple electronic correspondences to send to the consumer.

Aspects of the subject disclosure may include, for example, a method in which a processing system obtains physical and social environmental data for a communication device user, and provides content for presentation at the device. First reaction data, obtained via sensors associated with the user, indicate the user's reaction to presentation of the content; the data is analyzed to determine user affinity for the content in a context of the physical and social environments. The content is modified during the presentation; second reaction data is obtained and analyzed to determine a second user affinity for the modified content. If the affinity is enhanced, the modified content is sent to other users' equipment via a social network. Affinity responses regarding the modified content are analyzed, and a set of users is identified as an affinity group; additional content is transmitted to equipment of the affinity group. Other embodiments are disclosed.

Systems, methods and computer program products for determining a list of products in response to a client request received from a client device during a request/response session. Occurrence frequency and auxiliary product value information for each auxiliary product set in a list of auxiliary product sets are determined from a tree data structure in response to a client request. A list of candidate auxiliary products for each main product is determined using the occurrence frequency and a service value determined for each auxiliary product set in the list of auxiliary product sets.

Examples of the disclosure describe automatically associating devices of a user with a network service subscription of the user. The user has a subscription to services offered by an entity. Connection statistics for the devices to networks are generated and compared to criteria to determine whether any of the devices should be associated with the subscription of the user. After association, the devices are able to access networks and/or services associated with the subscription.

The present disclosure relates to systems, non-transitory computer-readable media, and methods for generating and utilizing a touchpoint attribution attention neural network to identify and measure performance of touchpoints in digital content campaigns. For example, a deep learning attribution system trains a touchpoint attribution attention neural network using touchpoint sequences, which include user interactions with content via one or more digital media channels. In one or more embodiments, the deep learning attribution system utilizes the trained touchpoint attribution attention neural network to determine touchpoint attributions of touchpoints in a target touchpoint sequence. In addition, the deep learning attribution system can utilize the trained touchpoint attribution attention neural network to generate conversion predictions for target touchpoint sequences and to provide targeted digital content over specific digital media channels to client devices of individual users.

Various technologies described herein pertain to allocating content units to client devices. Content units can be requested from an exchange by a server. The content units can be received by the server from the exchange, where the content units each has a corresponding deadline for expiration. Further, an indication of a penalty can be transmitted to the exchange if one of the content units is not displayed by one or more client devices upon expiration of the corresponding deadline.