Abstract: Systems, devices, media, instructions, and methods for computer based automated content generation, curation, and presentation are described. In one embodiment a content collection is generated with a first continuous presentation group by associating a first content element from a first content message of the plurality of content messages and a second content element from a second content message of the plurality of content messages to associate the first content element and the second content element as the first continuous presentation group. Advertising element placement within the presentation order for the first media collection is determined, and adjusted to avoid interrupting the continuous presentation group. In other embodiments, various advertising patterns are used and adjusted based on curated presentation groups within content collections.

Abstract: An apparatus includes at least one processor configured to obtain multiple spatiotemporal population projection models. Different spatiotemporal population projection models are associated with different pests, diseases, or biocontrol agents in a growing area. Each spatiotemporal population projection model defines how the associated pest, disease, or biocontrol agent spreads and contracts in the growing area over time. The at least one processor is also configured to receive information associated with an actual presence of a specific pest, disease, or biocontrol agent at one or more locations in the growing area. Different locations in the growing area are associated with different plants. The at least one processor is further configured to project a future presence of the specific pest, disease, or biocontrol agent in the growing area using the spatiotemporal population projection model associated with the specific pest, disease, or biocontrol agent.

Abstract: Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. Send Time Optimization (STO) uses machine learning (ML) to recommend a personalized send time based on a recipient's past engagement patterns. The purpose of the ML model is to learn patterns in the data automatically and use the patterns to make personalized predictions for each recipient. The send time recommended by the model is the time at which the model believes the recipient will be most likely to engage with the message, such as clicking or opening, and use of the send time mode is expected to increase engagement from recipients. Additional customizations include communication-frequency optimization, communication-channel selection, and engagement-scoring model.

Abstract: A leasing AI platform receives a message pertaining to leasing a real estate unit, generates a token matrix representing at least a portion of the message, and provide the token matrix as an input to a trained machine learning model. An output of the trained machine learning model comprises an indication of a first category associated with the at least the portion of the message. The leasing AI platform identifies one or more actions associated with the first category, the actions pertaining to leasing the real estate unit, and automatically executes the one or more actions without human involvement in response to receiving the message.

Abstract: Interaction data sets of consumers of an offering set with an application associated with an offering set are obtained. At least some of the interactions are associated with respective content presentation operations. A neural network model is trained, using the interaction data sets, to generate predictions of actions of a consumer at whom a set of content presentation operations is directed, and to provide action-attribution scores for the content presentation operations. The model includes convolutional layers and an attention module. Weights learned in the attention module are used to estimate the action-attribution scores. A trained version of the model is stored.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for providing a platform that facilitates communication between a messaging application and a web-based gaming application; receiving, via the platform, a request from the web-based gaming application to execute a reward activity; determining, by the messaging application, that the request satisfies a reward activity criterion; generating the reward activity on the messaging application in response to receiving the request; and communicating, via the platform, a status of the reward activity from the messaging application to the web-based gaming application.

Abstract: A user analytics computing device for processing mobile device telematics data and generating user offerings includes at least one processor in communication with a memory device. The processor is programmed to: (i) form a first group, (ii) receive first telematics data, (iii) parse subsets of the first telematics data, (iv) receive second telematics data, (v) parse subsets of the second telematics data, (vi) retrieve at least one eligibility condition that defines eligibility for the first group to qualify for a user offering, (vii) aggregate one subset of the first telematics data and one subset of the second telematics data associated into first group telematics data, (viii) determine whether the first group telematics data satisfies the at least one eligibility condition, and (ix) compare the first group telematics data to a plurality of other group telematics data to determine whether the first group has won the user offering.

Abstract: Certain aspects involve systems and methods for providing display content using RFID tags in geo-fenced zones. One example method includes processing devices that perform operations that include scanning radio-frequency identification (RFID) tags in a geo-fenced zone. The RFID tags correspond to a plurality of items. Further, the operations include retrieving a marketing campaign associated with the plurality of items. The marketing campaign comprises rules based on inventory information. In addition, the operations include determining the inventory information for the plurality of items based on the RFID tags. The operations further include selecting an item from among the plurality of items based on a rule associated with the marketing campaign. The rule is based on the inventory information. Additionally, the operations include generating display content based on the item.

Abstract: Aspects of the subject disclosure may include, for example, receiving a request to forecast allocations for a new descriptor, the new descriptor differing from preexisting descriptors, each of the preexisting descriptors being associated with a subset of locations of a network of locations, each location corresponding to an electronic segment in electronic canvases, and the new descriptor being associated with a new subset of locations of the network of locations, identifying one or more affected descriptors having one or more overlapping subsets of locations of the network of locations and one or more non-overlapping subsets of locations of the network of locations, determining a forecast of allocated locations in each of the one or more affected descriptors; identifying, according to the forecast, at least a portion of allocated locations in the one or more overlapping subsets of locations that are displaceable resulting in a number of displaceable allocations, and determining, according to the number of di

Abstract: Systems and methods of real-time modeling pipeline inferencing are disclosed. At least one model configured to calculate at least one metric from one or more features is deployed. A model inferencing pipeline configured to extract the one or more features from a customer-specific data pipeline is implemented for the at least one mode. The model inferencing pipeline is generated using a training data set extracted from a cross-customer data pipeline. The at least one metric is calculated using the one or more features extracted from the customer-specific data pipeline.

Abstract: Aspects of the subject disclosure may include, for example, a method including obtaining an advertisement package, wherein the advertisement package defines an interactive extended reality advertisement and includes a plurality of optional features; obtaining information about a user, their equipment, and their environment; creating an interactive extended reality advertisement by choosing a selected feature of the plurality of optional features according to the user information; and presenting the interactive extended reality advertisement to the user equipment. Other embodiments are disclosed.

Abstract: Systems and methods of dynamically varying the intensity of providing content items in a remarketing campaign based on tracking client device interactions are provided. The system can assign an account identifier to a first segment for a pre-conversion model, responsive to receiving a first interaction associated with a content provider from a client device. The system can assign the account identifier to a second segment for the pre-conversion model, responsive to receiving a second interaction. The system can assign, the account identifier to a third segment, responsive to receiving a third interaction. The third interaction can include a conversion event. The system can generate a post-conversion model based on the third segment and the pre-conversion model. The system can determine an intent index for the account identifier based on the post-conversion model. The system can store the account identifier into an interest cluster based on the intent index.

Abstract: A computer-implemented method for directing transaction rewards may comprise receiving, via a user device associated with a user, user preference data regarding a preferred merchant list including one or more merchants and reward criteria for each of the merchants, wherein the preferred merchant list defines a priority of the one or more merchants and the reward criteria defines a dynamic reward for each of the one or more merchants based on the priority on the preferred merchant list; receiving transaction information from a first merchant; determining, via one or more processors, if the first merchant is one of the one or more merchants on the preferred merchant list; and in response to determining the first merchant is on the preferred merchant list, determining, via one or more processors, a reward based on the transaction information; and transmitting, via the one or more processors, the reward to the first merchant.

Abstract: Provided are: a rack having a plurality of stages of storage units storing articles; a display device attached to the rack; and a management device configured to be capable of communicating with the display device and instruct the display device to display information on an article stored in the rack to which the display device is attached. The display device is a display that is capable of displaying image data relating to the article stored in the arranged rack. The management device displays and outputs image data on an article that needs to be taken out from the rack or stored in the rack and position information of a storage unit of the rack relating to the article according to instruction information.

Abstract: A method is provided for communication by a mobile telecommunication device. The method comprises detecting, by the mobile telecommunication device, an input related to an advertisement displayed on the mobile telecommunication device and associated with an online merchant. The method further comprises, responsive to detecting the input, transmitting, by the mobile telecommunication device, to the online merchant, a token stored in a memory location in the mobile telecommunication device, wherein the token contains information for facilitating a transaction between the mobile telecommunication device and the online merchant.

Abstract: There are provided systems and methods for monitoring device application usage for completion of checkout data processing. A computing device may be utilized to perform one or more actions while utilising an application executable by the device, including a browser application or merchant application that allows a user to view an online marketplace and purchase items in a transaction. Prior to checkout and transaction processing, the device may be used to browse items, and items may be added to a shopping cart. However, the device may not finish electronic transaction processing for the items, for example, where the device does not enter transaction processing details and/or navigates away from the items or cart. A service provider may utilize past actions to determine whether the action indicates that the device is abandoning use of the application, including electronic transaction processing. If so, an incentive may be provided to continue use.

Abstract: Devices and techniques are generally described for non-textual topic modeling. In some examples, a first item of a plurality of items may be identified. A first ranked list of items from the plurality of items may be generated for the first item using collaborative filtering. Topic modeling input data representing associations between the first item and each item in the first ranked list may be generated. Second data may be generated by inputting the topic modeling input data into a topic modeling algorithm. The second data may comprise one or more topics for the first ranked list of items.

Abstract: The present disclosure is directed toward a system that allows a promotion and marketing system to provide promotions to users of the promotion and marketing system for establishments that are currently not affiliated with the promotion and marketing system.

Abstract: Described are techniques including a method comprising generating customer profiles in a profile datastore and selecting a subset of the customer profiles for storing in a candidate profile datastore based on qualifier constraints in a qualifier model. The method further comprises scoring the subset of the customer profiles using a scoring algorithm and determining, for each of the subset of the customer profiles, a respective preferred communication channel. The method further comprises transmitting, in an order according to a rank based on the scoring, electronic communications to a subset of the customer profiles using the respective preferred communication channels.

Abstract: Methods, systems, and computer-readable media for optimized management of online advertising auctions are disclosed. An auction management system sends bids for one or more bidding units (e.g., keywords or product identifiers) to an advertising vendor. A bid comprises a value per click associated with one or more search results pages or web pages for one or more search terms. At least a portion of the bids represent winning bids in one or more auctions for the one or more bidding units. The system determines success metrics associated with the bids based (at least in part) on user traffic for links associated with the winning bids. The system determines an optimal bid for a particular bidding unit based (at least in part) on the success metrics. The system sends the optimal bid for the particular bidding unit to the advertising vendor for an additional auction.