Abstract: Provided herein are systems and methods of inserting video content. An application may receive a video content item identifying a plurality of segments. The plurality of segments may have a first segment to play primary video content and a second segment to play supplemental video content. The application may identify the second segment from the plurality of segments. The application may generate, responsive to identifying the second segment, a request for the supplemental video content to play in the second segment of the video content item. The request may include selection parameters. The application may transmit, to at least one server, the request for the supplemental video content to cause the at least one server to select a supplemental video content item using the selection parameters. The application may play the supplemental video content received from the at least one server in the second segment.

Abstract: Selection of content selection criteria based on entities related by relationship dimensions. In one aspect, a method receives a selection of a seed entity described in entity relation data, the entity relation data defining instances of entities, and for each entity one or more relationship dimensions; generating a set of selected entities; iteratively updating the set of selected entities, each iteration comprising: determining a set of relationship dimensions from the entities in the set of selected entities, each relationship dimension in the set being selected from the one or more relationship dimensions of the entities in the set of selected entities, receiving a selection of one of the relationship dimensions and in response: determining a set of candidate entities from the relationship dimensions and in response to receiving a selection of one or more candidate entities, updating the set of selected entities to include the one or more candidate entities.

Abstract: This application relates to apparatus and methods for providing a unified serving platform that allows for the reusability of machine learning models across a plurality of websites to determine personalized content. For example, a computing device trains a machine learning model with session data identifying browsing events and transaction data identifying purchasing events for a plurality of users. The computing device receives and stores session data and transaction data associated with a first website for the customer. The computing device may then receive a request for content to display to the customer on a second website. The computing device generates label data based on the session data and transaction data associated with the first website, and executes the trained machine learning model with the label data. Based on execution of the trained machine learning model, the computing device generates content to display on the second website, and transmits the content.

Abstract: Aspects of the subject disclosure may include, for example, storing, in a database, information associated with a first item purchased by a user, the information comprising an identification of the first item and a time of purchase of the first item; receiving web browsing data based upon monitoring, by another device, web browsing of the user; determining, based upon the web browsing data that is received, whether the user is currently browsing at a shopping website, resulting in a determination; responsive to the determination being that the user is currently browsing at the shopping website, querying the database to determine an elapsed time since the time of purchase of the first item; responsive to the elapsed time meeting a threshold, generating a message to send to the another device monitoring the web browsing, the message informing the user of a suggested second item for the buyer to purchase, the suggested second item being a replacement for the first item; and sending the message to the another dev

Abstract: A method for celebrity-based advertising includes storing, in a server, a likeness of subject and a corresponding booking that includes parameters outlining availability of the subject for digital advertising. The method further includes receiving or creating, by the server, a pitch that falls within the parameters of the booking, the pitch corresponding to the subject. The method further includes receiving, by the server and from a first user device, a first image of the likeness of the subject or another likeness of the subject. The method further includes determining, by the server, that the image matches the likeness of the subject. The method further includes transmitting, by the server, the pitch to the first user device to be output by the first user device.

Abstract: A computer-implemented method is provided for administering an online advertiser bidding interface. The method includes providing a bidding interface to an advertiser through a web server, by which an advertiser may bid on online advertising inventory of an online publisher, the bidding interface displaying a plurality of targeting elements; receiving targeting information from the advertiser through the targeting elements of the bidding interface and the web server; and generating an advertising bid based on the received targeting information. A system is also provided for administering an online advertiser bidding interface.

Abstract: A system for keeping an automated-taxi clean includes a perception-sensor, a communication-device, and a controller-circuit. The perception-sensor is operable to detect an object aboard an automated-taxi. The communication-device is operable to communicate with a present-client of the automated-taxi. The controller-circuit is in communication with the perception-sensor and the communication-device. The controller-circuit is configured to determine that the object was left by a prior-client of the automated-taxi, and operate the communication-device to convey to the present-client a cleaning-request to remove the object from the automated-taxi.

Abstract: This disclosure relates generally to a system and method to recommend a targeted advertisement to a user. The system is configured to receive and pre-processes a plurality of data from various sources based on a set of predefined business rules. A set of training data is extracted from the pre-processed plurality of data to develop a machine learning model to identify a set of attributes of personality of the user. A neural network is trained to identify at least one classifier to define one or more needs of the user. It would be appreciated that the one or more needs of the user are mapped with the set of attributes of the personality. Finally, the recommendation module of the system recommends at least one advertisement to a media service provider to share the same over OTT to the user.

Abstract: Decentralized computer systems and methods are disclosed for establishing and conducting payment processing with loyalty points using distributed ledger. One method includes: receiving a consumer identification, an issuer identification, and transaction information from a point of sale system when the loyalty card is presented for a transaction of a good or service at a merchant, identifying the network node containing distributed ledger associated with the issuer according to received issuer identification prompting, to participants of the shared ledger, to validate whether the consumer distributed ledger has required loyalty points for the transaction; if all of the participants of the shared ledger accepts the transaction, generating, a new immutable entry to the distributed ledger for the transaction with remaining loyalty points in the loyalty card after deducting the points required for the transaction; and sending a transaction approved message to the point of sale system at the merchant.

Abstract: Two directional data exchange between a mobile navigation system and a listing system enables pricing models and analytics that are responsive to trips initiated in response to location based listings on the navigation system. The data exchange may include information to present the listing to the user, track whether the user elected to begin navigating to the destination based on that listing, intermediate status as the user progresses towards the destination, and an indication that the user arrived at the location. The data may be used to evaluate the effectiveness of the listing in bringing customers to a physical location associated with the listing. The data may be applied in a performance-based pricing model by which pricing for the listing is based in full or in part on the number of trips initiated and/or completed as a result of the listing.

Abstract: Systems and methods to provide utilities based on blockchain-specific populations of unique digital articles in an online gaming platform are disclosed. Exemplary implementations may execute instances of a game; manage user accounts, including a first user account having a first account inventory that includes a first unique digital article; receive a first recordation request to record ownership of the first unique digital article on a first decentralized ledger; determine a size of a set or population of unique digital articles that include the first unique digital article; determine a fraction of the set or population of unique digital articles recorded on the first decentralized ledger; receive a first reward request for a first reward; compare the determined fraction with a threshold value; based on the comparison, provide either the first reward or else provide no award or a smaller award.

Abstract: An example method involves a computing device displaying a first action-outcome node corresponding to a first marketing-campaign action, displaying a plurality of outcomes of the first marketing-campaign action, positioned around the first action-outcome node, wherein each outcome corresponds to a potential result of the first marketing-campaign action, displaying a second action-outcome node corresponding to a second marketing-campaign action, displaying a plurality of outcomes of the second marketing-campaign action, positioned around the second action-outcome node, wherein each outcome corresponds to a potential result of the second marketing-campaign action, and displaying a graphical link connecting an outcome of the first action-outcome node to the second action-outcome node.

Abstract: AN information providing server SA determines whether a display condition is satisfied, the display condition being a condition for displaying advertising content of a specific advertiser on a first advertising space which is set on a medium that can be displayed on a terminal. And then, the information providing server SA switches, in a case where the display condition is not satisfied, the first advertising space to a second advertising space to display advertising content of an advertiser who wins a bid on the basis of bid information.

Abstract: Aspects of the subject disclosure may include, for example, embodiments for detecting a navigation application operating on a first communication device, and identifying a location of the first communication device. Further embodiments can include obtaining a first advertisement and a second advertisement according to the location of the first communication device as well as determining a first priority associated with the first advertisement and a second priority associated with the second advertisement. Additional embodiments can include determining the first priority is higher than the second priority resulting in a determination to present the first advertisement prior to the second advertisement, and providing the first advertisement, the second advertisement, and the determination to the first communication device.

Abstract: An online system selecting content items for presentation to its users accounts for likelihoods of users performing actions associated with content items when selecting content items. The online system maintains models determining likelihoods of users performing various actions. If a content item is associated with an action that infrequently occurs, information for determining the model for the action is limited, so the online system increases a bid amount associated with the content item during a time interval to an amount based on a likelihood of the user performing a more frequently occurring alternative action and an average bid amount for the alternative action from content items previously presented to users. The online system also determines an amount based on the model for the action and the bid amount for during the time interval and stops increasing the bid amount when the rate of change has less than a threshold magnitude.

Abstract: An example apparatus includes a data parser to extract an identifier and a cookie identifier from a message received at a first server of a first Internet domain from a client device, the cookie identifier associated with the first Internet domain, the identifier identifying at least one of the client device or a user of the client device to a second server in a second Internet domain outside the first Internet domain, a memory to store the identifier in association with the cookie identifier in an identifier-to-cookie map, a processor to associate demographic information corresponding to the identifier with an impression logged at the first server in association with the cookie identifier, the associating based on accessing the memory to identify that the cookie map stores the identifier with the cookie identifier, and a report generator to send the demographic information to the second server.

Abstract: Disclosed are systems and methods for generating recommendations to users based on historical travel information and electronic communication data. The disclosed systems and methods provide a novel framework for automating the transmission of electronic travel-related recommendations to users by consistently monitoring electronic messages received at an electronic communication mailbox corresponding to a user. The disclosed framework operates by leveraging historical user data, data parsed from electronic communication mailbox corresponding to a user, or various vendor information, and using the aforementioned data as inputs for travel-related recommendation models, in order to generate and transmit the optimal travel-related recommendations to a user.

Abstract: Embodiments include systems and methods for cross-domain tracking of online wireless device activity to provide context aware mobile services. A request to access a first website can be received from a wireless device at a web server such that a first product or service is viewed, wherein code that comprises an identifier is stored on the wireless device. A request to access a second website can be received, wherein the wireless device is configured to access the second website in response to a notification from a wireless beacon associated with a physical storefront. The web server can then retrieve the identifier from the wireless device and retrieve an online activity history for the wireless device based on the identifier. Information associated with the storefront and first product or service can be transmitted to the wireless device.

Abstract: An online system tracks stores information identifying content provided by third party systems and accessed by online system users as well as interactions with advertisements performed by online system users. When the online system identifies an opportunity to present an advertisement to a viewing user, the online system identifies content from third party systems accessed by the viewing user and content from third party systems accessed by additional online system users who interacted with advertisements. A score is computed for various advertisements based at least in part on correlations between content from third party systems accessed by the viewing user and content from third party systems accessed by additional online system users who interacted with advertisements. The online system selects candidate advertisements to evaluate for presentation to the viewing user based on the scores.

Abstract: Systems and methods are described for providing user offers based on efficient iterative recommendation structures. In various aspects, a server invokes a bi-directional look-up interface via a lookup request, where the bi-directional look-up interface is exposed via an electronic recommendation structure. The lookup request causes the bi-directional look-up interface to return a bi-directional recommendation value. The bi-directional recommendation value indicates a likelihood of a first user selecting a first offer or a second offer. The bi-directional recommendation value is transmitted via a computer network to a client device associated with the first user upon a determination that the likelihood meets or exceeds a recommendation threshold. The client device is operative to display at least one of the first offer or the second offer.