Abstract: Methods and systems are provided for identifying unique devices and/or unique users of a web-based system within constraints of an external application. In some embodiments the process comprises receiving request information from a client device at an application server, using such information to form a device fingerprint, and attempting to match the newly-formed fingerprint with exactly one fingerprint stored in a database of previously-formed fingerprints. Some embodiments utilize a two-stage Locality-Sensitive Hash query technique. The client device fingerprint may be converted into a series of LSH values which may be used to find a matching fingerprint. A first stage may query input LSH values against LSH values in a data store, and a second stage may query LSH values temporarily held in volatile memory, thereby minimizing network traffic and reducing a total process time.

Abstract: Systems and methods are disclosed for contextual analysis and segmentation of information objects. In accordance with one implementation, information objects, such as web pages and user profiles, may be processed to obtain a list of key terms. An index may be created containing each of the information objects and associated key terms. Information objects may then be matched to contextual segments (i.e., categories of information objects) by submitting terms associated with the contextual segments against the index. Further, thresholding may be applied, so that only the most relevant information objects for a contextual segment are assigned to the contextual segment.

Abstract: Methods and systems are provided for dynamically generating validation rules. In certain implementations, state information related to one or more operations is stored. A request for validation rules is received from a client. The request may include one or more parameters and an identification of an operation to be performed. In response to the request, the state information is accessed for the operation to be performed. The validation rules are then dynamically generated based on the accessed state information and at least one of the parameters or the identification in the request. The validation rules can then be transmitted to the client.

Abstract: System and methods are provided for analyzing and displaying digital content and advertisements over electronic networks. In accordance with one implementation, a method is provided that calculates, using at least one processor, an engagement metric (including, for example, click probability) for a specific combination of time, promotion slot, and user segment, for an individual promotion of a set of promotions, and calculates a value of a landing page associated with the promotion. The method then can multiply the engagement metric and the value to determine the valuation of the promotion. The method can operate recursively by using previous calculations in later runs of the same method.

Abstract: Systems and methods are disclosed for transmitting, to user devices, data for potential targets predicted to be identified in an augmented reality application. One method includes receiving a request for target data related to at least one physical object within an image of a real-world environment captured at the device; identifying a current target representing the physical object within a virtual environment corresponding to the real-world environment; determining at least one potential future target to be identified at the device based on identified coincident target requests; and sending to the device target data for each of the current and potential future targets based on the determination, wherein the device presents the target data for the current target within the virtual environment displayed at the device and store the target data for the potential future target in a local memory of the device.

Abstract: Systems, methods, and computer-readable media are provided for generating and using models to select thumbnail images for videos. In one exemplary method, the method comprises extracting at least one thumbnail from a video and determining at least one feature present in the at least one thumbnail. The method further comprises sending the extracted at least one thumbnail to one of an editor or at least one viewer. The method further comprises receiving feedback information related to the at least one thumbnail. The method further comprises generating a model and storing the generated model for use in identifying thumbnails for other videos. The model can be generated based on the determined at least one feature and the received feedback information.

Abstract: Systems and methods are disclosed for transmitting, to user devices, data for potential targets predicted to be identified in an augmented reality application. One method includes receiving a request for target data related to at least one physical object within an image of a real-world environment captured at the device; identifying a current target representing the physical object within a virtual environment corresponding to the real-world environment; determining at least one potential future target to be identified at the device based on identified coincident target requests; and sending to the device target data for each of the current and potential future targets based on the determination, wherein the device presents the target data for the current target within the virtual environment displayed at the device and store the target data for the potential future target in a local memory of the device.

Abstract: Systems and methods are disclosed for online data-linked telecommunications decisioning and distribution. One method includes receiving call data relating to a telephone call from a telephone device of a user to an interactive voice response (“IVR”) system; accessing a database storing correlated call data and user data; retrieving correlated call data and user data based on the telephone number of the call data; determining a confidence score defining a confidence that the received call data relates to the retrieved correlated call data and user data; correlating the received call data with retrieved call data and user data when the confidence score is greater than a threshold value; determining an IVR response to present to the user via the IVR system; and transmitting the determined IVR response to the IVR system for presentation to the telephone device of the user.

Abstract: Methods and systems are provided for dynamically generating validation rules. In certain implementations, state information related to one or more operations is stored. A request for validation rules is received from a client. The request may include one or more parameters and an identification of an operation to be performed. In response to the request, the state information is accessed for the operation to be performed. The validation rules are then dynamically generated based on the accessed state information and at least one of the parameters or the identification in the request. The validation rules can then be transmitted to the client.

Abstract: Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; for each source IP address for which requests were received over a predetermined time period from a number of Internet-enabled devices below a threshold number of devices, identifying each possible pair of devices from which requests were received; and for each possible pair of devices, calculating a probability that the pair of devices are owned or operated by a common user.

Abstract: Systems and methods are for identifying online advertisements to display to a user based on historical user data collected across the user's use of a plurality of Internet devices. One method includes receiving, over a network, a request for an advertisement to display at a first device of the user, the request including a unique identifier stored on the user's first device; accessing, in a database, a demographic or browsing history information generated from the user's use of a second device, the demographic or browsing history information being stored in the database in relation to the unique identifier; and identifying, based on the demographic or browsing history information, an advertisement to display at the user's first device. The demographic or browsing history information is synchronized based on the unique identifier being stored on the user's first device and the user's second device.

Abstract: Systems and methods are disclosed for associating a plurality of Internet-enabled devices with a common user profile for targeting Internet content or advertising. One method includes: receiving, from a plurality of Internet-enabled devices, a plurality of requests for electronic content or advertising; extracting, from each of the plurality of requests, a source IP address and a unique identifier associated with the respective Internet-enabled device; for each source IP address for which requests were received over a predetermined time period from a number of Internet-enabled devices below a threshold number of devices, identifying each possible pair of devices from which requests were received; and for each possible pair of devices, calculating a probability that the pair of devices are owned or operated by a common user.

Abstract: Systems and methods are provided for generating a forecasting model based on a set of measured values. Consistent with certain embodiments, the forecasting model may include a seasonal function and a trend function. Further, consistent with other embodiments, the computer-implemented systems and methods may include computing the forecasting model by minimizing an error function representing the error between the forecasting model and the measured values. In addition, consistent with yet other embodiments, the computer-implemented systems and methods may include a process for outlier detection and removal based on a computation of residuals. Still further, consistent with some embodiments, systems and methods may be provided to filter the seasonality and/or the trend components to eliminate sudden variations in the model predictions resulting from sudden, large variations in the measurement values.

Abstract: Systems and methods are disclosed for transmitting, to user devices, data for potential targets predicted to be identified in an augmented reality application. One method includes receiving a request for target data related to at least one physical object within an image of a real-world environment captured at the device; identifying a current target representing the physical object within a virtual environment corresponding to the real-world environment; determining at least one potential future target to be identified at the device based on identified coincident target requests; and sending to the device target data for each of the current and potential future targets based on the determination, wherein the device presents the target data for the current target within the virtual environment displayed at the device and store the target data for the potential future target in a local memory of the device.

Abstract: According to one aspect of the present disclosure, a method is provided for advertising on a content-screened web page. The method includes receiving an impression request for a URL for which an advertising impression is desired; screening HTML content of a web page identified by the URL; generating a rating for the URL based on the HTML content of the web page; assigning the rating to the impression request; and serving an advertising impression on the web page based on the rating.

Abstract: Systems and methods are disclosed for contextual analysis and segmentation of information objects. According to one implementation, information objects, such as web pages and user profiles, may be analyzed to identify key terms. These key terms may be included in a contextual representation of an information object. By comparing the contextual representations of a plurality of information objects, one or more contextual segments (i.e., categories of information objects) may be created. Each contextual segment may also be associated with its own contextual representation. Once a contextual segment has been created, information objects may be assigned to the contextual segment. These contextual segments may be used to deliver targeted advertising, for example.

Abstract: Systems and methods are provided for advertising on content-screened web pages. In one implementation, a method is provided that includes receiving an impression request for which an advertising impression is desired, screening HTML content of a web page identified by the impression request, generating a rating based on the HTML content of the web page, and assigning the rating to the impression request.

Abstract: A method, apparatus, and computer-readable medium estimate media performance on advertising space inventory. The method selects at least one media cell that shares one or more common attributes with a target media cell. The method subsequently estimates mean revenue per impression (RPI) of the selected media cell, and then defines an initial estimate of a RPI of the target media cell based on the estimated RPI of the selected cell. The method computes the RPI of the target media cell by combining the initial RPI estimate for the target media cell with performance data associated with the target media cell.

Abstract: Systems and methods are disclosed for generating an expanded user segment based on a target segment of users associated with a specified target feature. In one implementation, a method is provided that includes receiving information about online activity by a set of users, the information including a unique user ID associated with each of the set of users; extracting from the received information, data about the set of users who are associated with the specified target feature; specifying one or more independent features relevant to a user association with the specified target feature; building a model that represents the probability of any user being associated with the specified target feature, based on the extracted data and the independent features; and using the model to score a network population of users relative to the specified feature, based on information received about online activity by the network population of users.

Abstract: Systems, apparatuses, and methods are provided for determining a bid value for placing an advertisement onto advertising space available through an electronic marketplace. A method is used for calculating the option value of maintaining the advertisement in the advertising space during one or more periods of time. The option value may be based on expected profits and the estimated future value of maintaining the advertisement. The option value may then be used to calculate the bid price for placing the advertisement.