Abstract: An apparatus, for example a primary device, implements a method that includes receiving promoted content for display at the primary device; predicting a user's behavior with respect to the promoted content by estimating the user's context and preferences, using a neural network; and in response to the prediction of the user's behavior, automatically demoting the promoted content.

Abstract: A mediator system, which serves as a conduit between a customer and merchants, includes customer profile data. The mediator system analyzes the customer profile data, and assigns an indication to a customer represented by the customer profile data. The mediator system then provides the indication to the merchants, and then receives bids from the merchants. The bids are for establishing a connection between the merchants and the customer. The mediator system provides to a portion of the merchants, based on the bids, a connection to the customer.

Abstract: Provided is a process, including: obtaining, in memory of a first mobile computing device, a plurality of content items, at least some of the content items pertaining to respective different geographic areas; receiving, with the first mobile computing device, data indicating a user interaction with a given content item among the plurality of the content items; and in response to receiving the data indicative of the user interaction, transmitting a wireless signal from the first mobile computing device directly to a second mobile computing device that is different from the first mobile computing device, the wireless signal being indicative of the given content item and indicating that the given content item pertains to a given geographic area within range of the wireless signal transmission.

Abstract: In an embodiment, a system server receives, from a plurality of advertiser devices, a plurality of advertisements, at least one corresponding personal information value, and a corresponding price. The system server calculates, for each of a plurality of personal information types, a corresponding price. The system server sends, to a first message account, a plurality of messages, in which each message includes a respective advertisement of the subset of advertisements. Then the system server instructs a message device to output an indication of, for each of a plurality of types of personal information, whether a corresponding personal information value has been released.

Abstract: A method for generating advertising content includes: during a content creation period, receiving a video advertisement from an entity; packaging the video advertisement with a pointer to the entity and a checkout portal for content linked to the video advertisement to generate an augmented video advertisement; during a live period succeeding the content creation period, for a first instance of the augmented video advertisement accessed at a first computing device associated with a first user, associating a first purchase completed within the checkout portal of the first instance of the augmented video advertisement with the entity based on the pointer; and, for a second instance of the augmented video advertisement accessed at a second computing device associated with a second user, associating a second purchase completed within the checkout portal of the second instance of the augmented video advertisement with the entity based on the pointer.

Abstract: Methods, systems, and apparatus for content item auction bidding. In one aspect, a method includes receiving a request for a content item, the request including request feature values and a device identifier, the device identifier being included in a remarketing list; obtaining a predicted performance measure for a remarketing content item associated with the remarketing list based on a first timestamp and a second timestamp, the first timestamp being included in the remarketing list and associated with the device identifier included in the request, and the second timestamp being for the request; determining a bid adjustment value based on the first timestamp and the second timestamp; obtaining a remarketing bid for the remarketing content item, the remarketing bid specifying an amount a content item provider is willing to pay for distribution of the remarketing content item; and adjusting the remarketing bid based on the bid adjustment value.

Abstract: A device may obtain, from a collection of data sources, personal information and activity information for a group of individuals. The device may generate profile information by associating the personal information and the activity information for each individual in the group of individuals. The device may determine a set of features capable of being used to train a set of machine learning models by using one or more feature identification techniques to analyze the profile information. The set of features may include generic features and contextualized features associated with the group of individuals. The device may train the set of machine learning models using one or more subsets of features of the set of features. The device may use the set of machine learning models to process a request from a client device for a list of prospective targets for a campaign.

Abstract: Systems, methods, and other embodiments are disclosed that are configured to characterize an effect on sales of a retail item due to a sales promotion. In one embodiment, first sales data for the retail item is retrieved from a plurality of stores that have applied the sales promotion for the retail item. Second sales data for the retail item is retrieved from a single store that has applied the sales promotion for the retail item. A combined promotion effect value is generated based on the first sales data and the second sales data. The combined promotion effect value characterizes an effect on sales of the retail item as sold by the single store due to the sales promotion.

Abstract: A method, system and computer program product are disclosed for using shoppers for in-venue pick up of online orders. In an embodiment, the method comprises determining that an online order has been placed by a first shopper for a product in a venue, identifying a second shopper in a specified area to get the product, sending to the second shopper a message including a promotional offer in exchange for getting the product, receiving the product from the second shopper, and in response to receiving the product from the second shopper, honoring the promotional offer. In an embodiment, the second shopper is identified in a specified area relative to the venue. In an embodiment, the method further comprises determining a cost associated with getting the product in the store; and generating the promotional offer based, at least in part, on this determined cost associated with getting the product.

Abstract: An online system receives a request from an online system user to present a content item associated with an action that may be performed on a third party website not associated with the user. The online system identifies a set of third party websites on which the action may be performed based on information provided by content publishers associated with the websites describing performances of the action on the websites. The online system predicts a likelihood a viewing user of the online system presented with the content item will perform the action on each third party website based on the information provided by the content publishers and selects a website associated with a highest predicted likelihood the viewing user will perform the action on the website. The online system generates the content item including a link to the selected website and provides the content item for presentation.

Abstract: Provided as an information processing apparatus that includes: a search unit to search for, on a basis of position information of a user, a predetermined point specified in accordance with a user status and scenario progress from surroundings of a user; and an output control unit that performs control in a manner that a voice of a character corresponding to the scenario progress performs guidance to the predetermined point that has been searched.

Abstract: Apparatus, methods and architectures for dynamically incentivizing use of payment instrument(s) by customer(s) on purchase(s) from merchant(s) are described. Methods, apparatus and architectures may include/involve providing electronic platform(s) for enabling customer reward option(s). Reward option(s) may include standard reward option(s) associated with interchange fee(s) upon acquirer(s) affiliated with the merchant(s). Reward option(s) may include custom reward option(s) funded by the merchant(s) and associated with discounted interchange fee(s). Discounted interchange fee(s) may incentivize reduced cost(s) of acceptance imposed on merchant(s) by acquirer(s). The reward options may be selected to drive incremental sales to participating merchant(s).

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer-readable storage medium, for providing content. A method includes receiving a request for an advertisement to be displayed in a slot associated with a third-party content site; identifying a relevant advertisement to be provided in the slot; determining information to be included in an annotation associated with the advertisement, the annotation including customized information to be presented along with the advertisement; providing the advertisement responsive to the request including providing the annotation along with a control for re-publishing the advertisement along with the relevant advertisement; receiving user input selecting the control and designating the advertisement for re-publishing to a group, the group being designated by the user; and targeting additional content to the group based on the received user input.

Abstract: A computing device can obtain data describing at least one document, the at least one document referencing at least one media object, wherein a portion of the at least one media object includes one or more characters. The computing device can obtain data describing the one or more characters in the at least one media object in the at least one document. The computing device can generate an updated copy of the at least one document that includes the data describing the one or more characters in the at least one media object. The computing device can present, on a display screen of the computing device and through an interface, the updated copy of the at least one document, wherein the one or more characters in the at least one media object are able to be selected or searched.

Abstract: Machine-learning based systems and methods are described for optimizing search engine results. A server receives, via a computer network, and associates, via a user profile, user information including search requests, transaction details, and/or profile information, for which a user receives purchasing units. The server executes a machine-learning component to predict, based on the user information, a user action score defining a probability of a user to engage in a new transaction. The server executes a search engine optimization component that receives, from the user's device, a new search request causing the search engine optimization component to generate a search engine offer associated with the new transaction. The server transmits the search engine offer to, and receives an acceptance from, computing device(s) of search engine market participant(s), the acceptance causing a targeted advertisement and search results to be returned to the user device in response to the new search request.

Abstract: A computer-implemented method of generating recommendations based on predicted activity includes: receiving transaction data associated with a first transaction initiated by a user; determining, based on the transaction data, that the first transaction is associated with a travel purchase; in response to determining that the first transaction is associated with a travel purchase, identifying itinerary information associated with a trip; and automatically initiating at least one target action based on the itinerary information. A system and computer program product for generating recommendations based on predicted activity is also disclosed.

Abstract: The disclosure relates to a method, system, and computer-readable medium for providing optimal dynamic content of a service by receiving a first set of parameters and a second set of parameters pertaining to the service by a central controller; determining a dynamic content for the service based on the first and the second sets of parameters; transmitting the dynamic content to at least one service delivery terminal; transmitting the dynamic content to a controller when the dynamic content is accepted by the at least one service delivery terminal, transmitting modified dynamic content to the central controller when the dynamic content is not accepted; receiving a request for availing the service; comparing the request and one of the dynamic content and the modified dynamic content to obtain the optimal dynamic content, and transmitting the obtained optimal dynamic content to the end-user.

Abstract: Systems, methods, and computer-readable media are disclosed for detecting user interactions and delivering content using interaction metrics. In one embodiment, an example method may include receiving a bid request for an available content delivery slot, the bid request comprising context information, determining first candidate content for the available content delivery slot, and determining a first base bid value for the first candidate content. Example methods may include determining a predicted conversion rate for an impression of the first candidate content served at the available content delivery slot, determining an estimated revenue for serving the impression at the available content delivery slot, determining a first bid modifier using the predicted conversion rate and the estimated revenue, and sending a response to the bid request comprising a first bid amount, wherein the first bid amount is based at least in part on the first base bid value and the first bid modifier.

Abstract: Systems, methods, and computer-readable media are disclosed for detecting viewability and delivering content using viewability metrics. In one embodiment, an example method may include receiving a bid request for an available content delivery slot, where the bid request comprises context information, determining first candidate content for the available content delivery slot, and determining a first base bid value for the first candidate content. Example methods may include determining an estimated view rate using the context information, determining a first bid modifier using the estimated view rate; and sending a response to the bid request comprising a first bid amount. The first bid amount may be based at least in part on the first base bid value and the first bid modifier.

Abstract: A system, a machine-readable storage medium storing instructions, and a computer-implemented method are described herein to detect access of a predefined resource by a target account. Responsive to the detected access of the predefined resource, a sender account is determined for a persistent message to be received by the target account. The persistent message is sent from the sender account to the target account.