Abstract: Systems and methods described herein may generate campaigns and efficiently calculate bids for placement of campaign data into Internet data. Embodiments may calculate context scores for campaign data based on campaign terms and beacon terms. The context scores may be used to identify Internet content that has a high page score. If the page score of particular Internet content exceeds a predetermined threshold, the system may place a bid for a campaign based on disclosed algorithms taking as inputs performance scores, context scores, page scores, campaign budgets, and other parameters. The systems therefore are capable of quickly and effectively calculating optimal bids to place for a particular campaign given parameters disclosed herein.

Abstract: A method and system provide the ability to manage entities of a marketing domain model in a multi-state workflow. Multiple entities are acquired in a content hub. Each entity is a set of data that belongs together as one and includes properties that describe entity details. Relations are created between the multiple entities to give meaning to the marketing domain model. A solution graph is generated that represents all of the multiple entities (nodes) and relations (edges). Inside the solution graph, a state workflow can be created for each node. Nodes can be linked to a state and there are transitions between the states. Multiple non-linear state workflows can be orchestrated by an overall waterfall-based workflow (that is linear and time duration based. A graphical user interface enables management of and renders a representation of the multiple entities, the solution graph, and the workflows.

Abstract: Generating a cannibalism score for a paid ad in a search engine results page (SERP) by gathering keywords relevant to an advertiser, defining rules that compute a cannibalism score for the ad in relation to a corresponding unpaid listing, where the cannibalism score estimates the reduction in revenue to the advertiser due to the ad appearing in the same SERP as the corresponding listing, providing a keyword to a search engine, receiving a SERP from the search engine, determining the position of a first ad placed by the advertiser from among one or more ads in the SERP, determining the position of a corresponding unpaid listing from among a plurality of unpaid listings in the SERP, and applying the rules to the ad and to the corresponding unpaid listing to obtain a cannibalism score for the ad.

Abstract: A system and method for providing real estate spatial analysis through a user interface which allows the user to visualize the analysis through maps. A businesses are identified within each of a number of incremental areas of an overall map area. Corresponding land use types are identified for the incremental areas. A predominant land use type is identified for each incremental area. A land use map is generated with colors the respective incremental area using a predetermined color assigned to the predominant land use type for the respective incremental area.

Abstract: The disclosed systems and methods integrate gaming functionality with viewing a video program. Systems and methods for generating an interactive multimedia game for a user during the viewing of a video program by the user includes a host computer that generates the game in a context of the video program viewed on a first graphical user interface and recommends the video game to the user. The user may opt to engage with the video game on a second graphical user interface, which may be overlaid on the first graphical user interface.

Abstract: A system and method for optimizing advertisements for display to users comprising receiving a request for an advertisement wherein the request comprises information about a user to whom the advertisement is to be displayed; determining at least one community of which the user is a member; determining a conditional probability that the user will interact with the advertisement; responsive to the conditional probability exceeding a threshold, determining community data to present with the advertisement and providing for display to the user the advertisement and the community data; responsive to the providing of the advertisement, receiving an indication of activity at a client system related to the advertisement or community data; and storing the indication in a storage medium.

Abstract: One or more computing devices, systems, and/or methods are provided. A machine learning model may be trained using a plurality of sets of information. One or more pruning operations may be performed in association with the training to generate a machine learning model with a sparse set of field weights associated with feature fields associated with features of the plurality of sets of auction information. A request for content associated with a client device may be received. A set of features associated with the request for content may be determined. Positive signal probabilities associated with a plurality of content items may be determined using the machine learning model based upon field weights, of the machine learning model, associated with the set of features. A content item may be selected from the plurality of content items for presentation via the client device based upon the positive signal probabilities.

Abstract: A method can include retrieving product information from a website database to identify a first product as a value-sensitive product identified with at least a value price tag. The method can include determining second users who are not value conscious about the first product. The method can also include preparing first and second recommendations and promotions for the first product, wherein the first recommendation comprises one or more value-sensitive products. The method additionally can include transmitting machine readable instructions to display the first recommendations and promotions for the first product for viewing by the first user. The method also can include transmitting machine readable instructions to display the second recommendations and promotions for the first product for viewing by the second user. Other embodiments are disclosed herein.

Abstract: One variation of a method for quantifying user engagement includes: serving a digital advertisement to a mobile device; recording a first proportion of pixels of the digital advertisement rendered on a display of the mobile device during a first sampling period; recording a second proportion of pixels of the digital advertisement rendered on the display of the mobile device during a second sampling period offset in time from the first sampling period; calculating a cumulative pixel exposure of the digital advertisement at the mobile device based on a combination of a first product of the first proportion of pixels and a duration of the first sampling period and a second product of the second proportion of pixels and a duration of the second sampling period; and storing the cumulative pixel exposure as an engagement metric for a user consuming the digital advertisement at the mobile device.

Abstract: A system and method for augmenting video displayed via web browser to add interactive functionality is disclosed. Elements are included in a structured media definition to cause the video player to instantiate one or more new elements on a webpage when the media is played, including a first script that includes instructions to generate an interactive menu and second script, such that selection of an option from the interactive menu will call one or more application programming interface (API) functions of the second script. The structured media definition causes loading of the video and execution of the instructions. A server backend receives and processes API calls from the second script and transmits responses to the API calls to be acted upon by the second script.

Abstract: The amount of user activity performed in relation to a promotion may be tracked based on user content captured via the client application. At least a portion of user content captured via the client application may be scanned and analyzed to identify user activity related to the user content. Augmented reality content items may be executable to generate content that is displayed in relation to the user content and that indicates an amount of user activity related to the promotion. In addition, the augmented reality content items may be executable to generate content in relation to the user content that indicates one or more redemption options for the promotion based on an amount of user activity performed by a user of the client application that captured the user content.

Abstract: Systems and methods that enable product (or service) purchasers, or other such entities, to share promotional materials via social networks and/or other means of communication and may further enable the purchasers to receive rewards, such as rebates, in response to interactions with the promotional materials by others (e.g., friends of the purchaser). In various embodiments, the promotional materials shared by the purchaser relates to the product purchased, which may lend greater credibility and/or interest in the promotional material being shared.

Abstract: A system and method for augmenting video displayed via web browser to add interactive functionality is disclosed. Elements are included in a structured media definition to cause the video player to instantiate one or more new elements on a webpage when the media is played, including a first script that includes instructions to generate an interactive menu and second script, such that selection of an option from the interactive menu will call one or more application programming interface (API) functions of the second script. The structured media definition causes loading of the video and execution of the instructions. A server backend receives and processes API calls from the second script and transmits responses to the API calls to be acted upon by the second script.

Abstract: A system and method for augmenting video displayed via web browser to add interactive functionality is disclosed. Elements are included in a structured media definition to cause the video player to instantiate one or more new elements on a webpage when the media is played, including a first script that includes instructions to generate an interactive menu and second script, such that selection of an option from the interactive menu will call one or more application programming interface (API) functions of the second script. The structured media definition causes loading of the video and execution of the instructions. A server backend receives and processes API calls from the second script and transmits responses to the API calls to be acted upon by the second script.

Abstract: A system and method for augmenting video displayed via web browser to add interactive functionality is disclosed. Elements are included in a structured media definition to cause the video player to instantiate one or more new elements on a webpage when the media is played, including a first script that includes instructions to generate an interactive menu and second script, such that selection of an option from the interactive menu will call one or more application programming interface (API) functions of the second script. The structured media definition causes loading of the video and execution of the instructions. A server backend receives and processes API calls from the second script and transmits responses to the API calls to be acted upon by the second script.

Abstract: A system and method for augmenting video displayed via web browser to add interactive functionality is disclosed. Elements are included in a structured media definition to cause the video player to instantiate one or more new elements on a webpage when the media is played, including a first script that includes instructions to generate an interactive menu and second script, such that selection of an option from the interactive menu will call one or more application programming interface (API) functions of the second script. The structured media definition causes loading of the video and execution of the instructions. A server backend receives and processes API calls from the second script and transmits responses to the API calls to be acted upon by the second script.

Abstract: Embodiments of the present invention provide methods, systems, apparatuses, and computer program products for predicting consumer behavior. In one embodiment a method is provided comprising determining a classification for a first consumer, wherein the classification is based on a measure of frequency of purchases by the first consumer; identifying one or more first attributes for the first consumer based on the determined classification, the one or more attributes being attributes selected for predicting the respective one or more metric associated with the first consumer; and determining, based on values for the one or more first attributes, a first prediction value that indicates a programmatically expected number of purchases by the first consumer.

Abstract: Participation by multiple users in an online game through client computing platforms associated with the users is facilitated. User accounts associated with the users indicate affiliations having a functional significance between users. Presentation of offers to sell virtual items are provided to users having a first affiliation and to users having a second affiliation. The virtual items associated with the offers are distributed to the users having a first affiliation upon an indication that a threshold number of users having the first affiliation have accepted the offer and are not distributed to users having a second affiliation upon an indication that a threshold number of users having the second affiliation have not accepted the offer.

Abstract: Methods, apparatus, and processor-readable storage media for determining transaction-related user intentions using artificial intelligence techniques are provided herein. An example computer-implemented method includes obtaining data pertaining to digital behavior of a user during a transaction-related session on one or more electronic commerce websites; classifying the user into one of multiple categories by processing the obtained data pertaining to the digital behavior of the user using artificial intelligence techniques, wherein the multiple categories correspond to multiple predicted levels of user intention to complete a transaction; determining, based on the classification of the user and the obtained data pertaining to the digital behavior of the user, at least one reason why the user may not complete a transaction during the transaction-related session; and performing one or more automated actions based at least in part on the at least one determined reason.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for determining parameters for digital campaign content in connection with executing digital campaigns using a rank-one assumption and a best-arm identification algorithm. For example, the disclosed system alternately explores response data in the first dimension and response data in the second dimension using the rank-one assumption and the best-arm identification algorithm to estimate highest sampling values from each dimension. In one or more embodiments, the disclosed system uses the estimated highest sampling values from the first and second dimension to determine a combination with a highest sampling value in a parameter matrix constructed based on the first dimension and the second dimension, and then executes the digital campaign using the determined combination.