Abstract: At least one aspect is directed to determining an estimate of an intersection of user identifiers in a first set of user identifiers and a second set of user identifiers. The first and second sets of user identifiers can be populated with user identifiers that have interacted with the same content item or content item campaign. Estimates of intersections of the first and the second sets can be determined based on a binomial vector approach, a vector of counts approach, or a hybrid approach. The binomial vector approach generates vectors based on k hashes of each user identifier in the first set and summing the vectors to generate a first vector. The intersection can be determined based on a dot product of the first vector and a second vector similarly generated from the second set of user identifiers.

Abstract: Disclosed are techniques for achieving high-volumes of low-latency price plus discount transactions that are dynamically created through transaction optimization. Aspects may include combining and optimizing different types of discounts into a single discount and dynamically controlling the single discount through a single user-facing transaction. A computer model may determine one or more transactions and sets of discounts applicable to those transactions upon which the user-facing transaction and single discount are based. Associations between discounts and items may be determined for at least some different types of discounts to apply a set of discounts including at least two different discounts of different discount types to a desired transaction for one or more items. Aspects may include determining a discount transaction comprising a plurality of constituent transactions that form a single user-facing transaction.

Abstract: Techniques for conducting transactions with one-time passwords are described herein. These techniques may include receiving a request to conduct a transaction, as well as a one-time password and an identifier linked with a payment instrument. The identifier may or may not identify the linked payment instrument. In both instances, a transaction processing service may compare the received one-time password with a one-time password stored at or accessible by the transaction processing service. If the passwords match, the service may approve the transaction. Otherwise, the service may decline the transaction or implement one or more additional authorization procedures.

Abstract: Systems, methods, and computer-readable media are disclosed for augmenting real-time bidding data with proprietary data. One method includes: receiving, at a server over an electronic communications network from a real-time impression bidder, a bid request or a request to augment a bid request with proprietary data; accessing, by the server from an internal database, proprietary data of a data augmenting service based on a user identifier of the bid request; determining, by the server, proprietary data to include in an augmented bid request based on at least one of the received bid request and the user identifier; formatting, by the server, the augmented bid request into a standardized, augmented bid request; and transmitting, by the server over the electronic communications network, the standardized, augmented bid request to the real-time impression bidder.

Abstract: Methods, systems, and apparatus, for detour based content selection. In one aspect, a method includes receiving, at a data processing apparatus, location data for a plurality of users, the location data describing, for each user, locations of a user device of the user; determining, from the location data, route data for the plurality of users, the route data describing, for each user, a route traveled by the user; determining, by the data processing apparatus, for at least one or more of the users, a detour from the route traveled by the user to a retail location of the offeror; determining, by the data processing apparatus, for each of the at least one or more of the users, whether the user is eligible for an offer of the offeror based on the detour; and for each user eligible for an offer, enabling the offeror to provide an offer to the user.

Abstract: A method includes making a determination at a user device to transition the user device to a standby mode. The method includes sending a message from the user device to a server of a service provider in response to the determination, where the service provider provides a service to the user device. The method includes receiving, in response to the message, a content stream at the user device. The method includes sending video content generated from the content stream to a display device while the user device is in the standby mode. The method also includes, in response to a time in the standby mode exceeding a threshold, transmitting a second message to the server from the user device. In response to the second message, receipt of the content stream ceases.

Abstract: A method including tracking first data including responses by users to email campaigns. The method also can include generating a user feature set for the users, the user feature set including personal features of each of the users and online activity history for each of the users across a first set of time periods. The method additionally can include generating an email feature set for the emails in the email campaigns. The method further can include training a logistic regression model to create a trained model using the first data, the user feature set, and the email feature set to provide a probability of a user of the users clicking on an email of the emails within each time period of a second set of time periods. The method additionally can include triggering sending a first email of the email campaigns to a first user of the users at a selected time period of the second set of time periods based at least in part on the trained model. Other embodiments are disclosed.

Abstract: A system and method for providing a content feed file for a content file to a content host. The method comprises delivering the content file and the content feed file to the content host, wherein the content feed file comprises one or more policies and the one or more policies direct the content host to manage the content file according to the one or more policies. After the content host processes the content file according to the provided policies, the content owner receives a status report wherein the status report comprises information about actions taken by the content host according to the one or more policies.

Abstract: Provided is a method for providing a reward based on consumption of content performed by a computing device. The method comprises querying a user terminal located in a first space by using location information of a first space, measuring the number of users located in the first space according to the number of the queried user terminals and a first content playback record and calculating a first reward for the first content by using the measured number of users and the first content playback record, and providing the first reward to an account of a producer linked to a producer terminal of the first content.

Abstract: A call analytics system for analyzing the effectiveness of advertising campaigns using performance data and call data. Specifically, the call analytics system evaluates the performance of different keywords in generating calls to displayed phone numbers. The call analytics system uses statistical techniques to correlate received calls to displayed phone numbers with those keyword or keywords that were associated with displayed advertisements. The system gives advertisers the ability to track and measure which keywords drive sales for mobile users that call advertisers directly from ads on their smartphones or other mobile devices. In some embodiments, the system uses the calculated effectiveness of certain keywords to recommend changes to present or future advertising campaigns of the advertiser.

Abstract: User selections entered in the media application or any user input device behavior with user devices may be recorded as clickstream data. The clickstream data may be used to deduce information about the user or a media item being consumed. A user may be profiled based on his or her input device behavior using a plurality of time-stamped indicators. A degree of user interest may be determined based on a time period between the time-stamped indicators, the number of time-stamped indicators within a period of time, and/or a type of user action.

Abstract: A system and method for customer and business referral with a concierge system, comprising a database comprising customer and business information, a mobile device operating a concierge application, and a referral engine, to allow users to register for and install the concierge application, and use it to place orders for products, services, or reservations with participating businesses, gives or place these orders for other users who approve of receiving the product, service, or reservation, and compensating concierge application users who have a commercial interest in operating the application, called a commercial concierge, who may be compensated for referring users to various businesses for products, services, or reservations the user may enjoy or be searching for, in lieu of a traditional concierge that may help refer customers manually.

Abstract: A coordinated mobile media projection system is provided using multiple media projection systems (MPSs). Each MPS is attachable to a mobile platform (e.g., automotive vehicle or aircraft). Each MPS is selectively enabled to supply a portion of coordinated media, and includes a location subsystem to determine the geographic location of the MPS. The combination of the MPSs supplies a coordinated media integration or unified message, with a first portion of the coordinated media being linked to a second portion of the coordinated media. Each MPS may include a deployment subsystem to supply an enablement signal in response to either the mobile platform occupying an assigned position or the MPS being enabled. The geographic location determined by the locations subsystem may be a stationary location or a moving location route. The first and second portions of the coordinated media may be identical, sequentially projected, form a billboard, or display related topics.

Abstract: Disclosed is a plurality of computer servers operating a rewards-based, universal, integrated code base in which each respective platform operating on the code base agrees to an information exchange, payment and rewards framework. The rewards-based, universal, integrated code base is a single code base including an aggregation of each respective platform and which enables at least one or more of rewards, payments and data sharing between each respective platform in the rewards-based, universal, integrated code base such that users do not open or close different platforms. Full participation in obtaining and redeeming rewards for interacting with the rewards-based, universal, integrated code base through messaging, reviewing, purchasing, bidding on offers, etc., is achieved via an authorized user device for access to the rewards-based, universal, integrated code base. Data gathered through user interactions can be aggregated and monetized and can yield additional rewards.

Abstract: Methods, systems, and computer-readable storage media for computer-implemented simulation of a digital advertising system to generate data. Actions include executing a plurality of actors, each actor being provided as computer-executable code including functionality of a respective component of a digital advertising system, and including one or more configuration parameters, during a simulated real-time bidding (RTB) process, transmitting, by each actor, at least one message to another actor, each message representing a transaction between actors in the digital advertising system, and being at least partially based on the one or more configuration parameters of a respective actor, and logging data representative of transactions occurring during the simulated RTB process.

Abstract: A system that incorporates teachings of the present disclosure may include, for example, a server having a controller to maintain content rights parameters associated with media content and a user where the content rights parameters include limits to distribution of the media content to a plurality of communication devices associated with the user and where a portion of the plurality of communication devices use different communication protocols from another portion of the plurality of communication devices, monitor for access to the media content by one communication device of the plurality of communication devices of the user, and obtain rights control data that is adapted to allow for presentation of the media content by the one communication device of the user where the rights control data is generated based on the content rights parameters. Other embodiments are disclosed.

Abstract: A method and system for tracking potentially fraudulent activities associated with one or more web sites is disclosed. The system includes a fraud tracking server connected to a fraud tracking database. The fraud tracking server includes a communications module to facilitate the exchange of data between the server and multiple client devices. The fraud tracking server receives data from one or more client devices that identifies a potential spoof site. The fraud tracking server also includes control logic to generate a spoof site tracking record in the fraud tracking database. The spoof site tracking record includes the data identifying the potential spoof site. After the spoof site tracking record has been created, the fraud tracking server notifies an administrator of the potential spoof site by communicating the data received and stored in the fraud tracking database to an administrator.

Abstract: User data from users/consumers is transformed into machine learning training data including historical offer attribute model training data, historical offer performance model training data, and user attribute model training data associated with two or more users/consumers, and, in some cases, millions, tens of millions, or hundreds of millions or more, users/consumers. The machine learning training data is then used to train one or more offer/attribute matching models in an offline training environment. A given current user's data and current offer data are then provided as input data to the offer/attribute matching models in an online runtime/execution environment to identify current offers predicted to have a threshold level of user interest. Recommendation data representing these offers is then provided to the user and the current user's actions with respect to the recommended offers is monitored and used as online training data.

Abstract: A system, method and device for detecting keystroke entries in a field entered by keyboard in connection with an online transaction that may be fraudulent or erroneous. A score can be assigned to a keystroke based upon its distance from another keystroke. The scores of keystrokes in a string can be summed to obtain a string score. The string score can be normalized by dividing the string score by the number of keystrokes summed to obtain the normalized string score. A risk of fraud or error can be determined based upon the value of the normalized string score in comparison to a predetermined value.

Abstract: In some examples, augmented reality and mobile technology based services procurement and distribution may include ascertaining an attribute and a location associated with a user. Augmented reality and mobile technology based services procurement and distribution may include generating, based on the ascertained attribute and location, a plurality of offers for services on a map display or an augmented reality display, and generating, based on selection of an offer, a display of the selected offer that includes a QR code, a barcode, and/or a Near Field Communication code. Augmented reality and mobile technology based services procurement and distribution may include analyzing, based on redeeming of the selected offer, the attribute associated with user relative to attributes of other users, and modifying the generation, based on the analysis of the attribute associated with user relative to attributes of other users and the location, of the plurality of offers for the services.