Abstract: A system for creating and using a universal tag to gather consumer data from a website for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: According to various embodiments, techniques and mechanisms described herein facilitate the editing of computer programming tags associated with a website. A user interface displaying a representation of a website may be presented on a display screen. The representation may include a plurality of webpage identifiers that each identifies a respective webpage associated with the website. The representation may also include a plurality of active tag indicators that are each associated with a respective one of the webpages. Each active tag indicator may identify a respective portion of computer programming code included in the respective webpage with which the active tag indicator is associated. User input indicating an editing action to be performed with respect to one or more of the computer programming code portions may be received, and a message identifying the editing action may be transmitted via a communications interface.

Abstract: Disclosed are systems and methods for managing queries on on-line advertisement data. The system includes a query engine device for receiving queries from and outputting query results to query client devices and a training engine for generating and adjusting a model for predicting an estimation of resource usage for execution of each received query based on each query's corresponding feature vector having values pertaining to the query and a system status. The query engine device is further configured to provide the estimation of resource usage for each query to the corresponding query client device and, in response, receive input from such corresponding query client device and specifying whether to proceed with the corresponding query. A database system receives input from each query's corresponding query client device as to whether to proceed with the query and, in response, initiates or inhibits execution of such query with respect to a database storage system.

Abstract: A system and method of selecting on-line advertisements in a real-time bidding exchange is disclosed. A bid request associated with a first data set is received. Advertisements are filtered based on each advertisement's campaign constraints as applied to the first data set. A heuristic score for each filtered advertisement is determined based on a small subset of features from the first data set or randomly generated. A bid value is then determined based on a substantial number of the features from the first data set only for each of a top fraction of filtered the advertisements that have the highest heuristic scores. A final bid value and its associated advertisement is selected and sent to a sender of the bid request for presenting in an on-line advertisement space as an impression.

Abstract: According to various embodiments, techniques and mechanisms described herein facilitate the editing of computer programming tags associated with a website. A user interface displaying a representation of a website may be presented on a display screen. The representation may include a plurality of webpage identifiers that each identifies a respective webpage associated with the website. The representation may also include a plurality of active tag indicators that are each associated with a respective one of the webpages. Each active tag indicator may identify a respective portion of computer programming code included in the respective webpage with which the active tag indicator is associated. User input indicating an editing action to be performed with respect to one or more of the computer programming code portions may be received, and a message identifying the editing action may be transmitted via a communications interface.

Abstract: Systems, methods, and devices are disclosed herein for spend control in online advertising. Systems include a first plurality of advertisement servers included in a first data center, and a second plurality of advertisement servers included in a second data center. Systems include a performance data aggregator configured to receive performance data characterizing bids placed by the first plurality of advertisement servers and the second plurality of advertisement servers. Systems include a spend control analyzer configured to generate spend control data objects based on an estimate of bidding activity associated with the first data center and bidding activity associated with the second data center. Spend control data objects are capable of configuring advertisement servers to perform advertisement operations within determined budgetary constraints.

Abstract: According to various embodiments, techniques and mechanisms described herein facilitate the storage of an image of a rendered webpage on a storage medium. A first message including a request for a webpage may be transmitted to a web server via a communications interface. The webpage request may generate an advertising opportunity bid request for bids to place an advertisement on the requested webpage. A second message to place a bid on the generated advertising opportunity bid request may be transmitted. Information for rendering the webpage is received in response to the webpage request, and an image of the rendered webpage may be stored on a storage medium.

Abstract: Disclosed herein are systems, methods, and devices for generating efficacy metrics. Systems may include a data object aggregator configured to receive a plurality of advertisement data objects characterizing online advertising content associated with at least one online advertisement campaign. Systems may also include an efficacy metric generator configured to generate a plurality of efficacy metrics characterizing an estimate of a probability of at least some of the plurality of advertisement data objects interacting with a target audience, where the generating is based on one or more properties of the plurality of advertisement data objects. Systems may further include a report generator configured to generate at least one report based on the plurality of efficacy metrics.

Abstract: Disclosed herein are systems, methods, and devices for generating attribution metrics. Systems include a sequential data structure generator configured to generate sequential data structures based on performance data. Each of the sequential data structures characterizes a sequential representation of at least some of a plurality of data events during a first time period. Systems also include an attribution metric generator configured to generate a first plurality of attribution scores and a first plurality of attribution metrics based on a first plurality of dimensions associated with the plurality of data events included in the sequential data structures. Systems further include a resource file generator configured to generate a first resource file that stores data values characterizing the first plurality of attribution metrics. The first resource file is capable of being provided to an advertisement server and being used to generate at least one message including a bid request.

Abstract: A method of managing on-line user data in a table-level distributed database system is disclosed. At a loading interface, a load request from a client device specifying a new or updated data table, which has been populated in a distributed file system, is received. The load request also specifies a location in the distributed file system and a schema of the data table. The loading interface creates new records in a metadata store, and each new record specifies a mapping between the data table and a particular instance that is to load such data table. Each record also specifies the location and schema for such data table. Based on the new records, each instance also loads the data table. Each instance publishes, in the metadata store, load status specifying that loading of the data table is complete so that such data table can be queried by a query client.

Abstract: Techniques and mechanisms described herein facilitate adaptive fuzzy fallback stratified sampling. According to various embodiments, an actual or estimated minimum vertex cover of a feature dependency graph representing a dataset may be determined. The dataset may include a plurality of feature vectors and a plurality of features. Each feature vector may include a plurality of feature values that correspond with the features. The feature dependency graph may represent a plurality of conditional dependencies between the features. The minimum vertex cover may designate a subset of the features for strata selection. The feature vectors may be partitioned into a plurality of strata based on the designated subset of features. Each stratum may include one or more of the feature vectors. Each feature vector may be assigned to a corresponding stratum based on the values of the designated subset of features for the feature vector.

Abstract: A system for creating and using a universal tag to gather consumer data from a web site for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: At a bid determination platform, an initial sequence having an initial order of software steps for filtering advertisements in response to receiving an advertisement bid request is selected. Until a trigger event occurs, the initial sequence of software steps is implemented in the initial order in response to receiving advertisement bid requests. Implementing the initial sequence comprises automatically tracking a failure (or success) metric and resource requirement metric for each of the software steps. After the trigger event occurs, a first optimum sequence of the software steps is automatically selected in a first optimum order so as to optimize a total resource usage for execution of the software steps. Selecting the first optimum sequence of the software steps in the first optimum order is based on the tracked failure (or success) metric and resource requirement metric for each of the software steps during implementation of the initial sequence.

Abstract: A system for creating and using a universal tag to gather consumer data from a web site for the purposes of targeted advertising is provided. The universal tag system has two main subsystems. The first subsystem is a configuration system that is used to define the consumer data to be collected from the website and to define taxonomy and transformation rules to be applied to the collected consumer data. The second subsystem is a runtime system that runs a universal tag client-side script, which is triggered when a consumer lands on a webpage of the website, for collecting the defined consumer data. The runtime system then applies the transformation rules to the collected data and updates a user profile corresponding to the consumer with the transformed data. As well, the runtime system applies the taxonomy rules to the collected data and categorizes the consumer for the purposes of subsequent targeted advertising.

Abstract: According to various embodiments, techniques and mechanisms described herein facilitate the storage of an image of a rendered webpage on a storage medium. A first message including a request for a webpage may be transmitted to a web server via a communications interface. The webpage request may generate an advertising opportunity bid request for bids to place an advertisement on the requested webpage. A second message to place a bid on the generated advertising opportunity bid request may be transmitted. Information for rendering the webpage is received in response to the webpage request, and an image of the rendered webpage may be stored on a storage medium.

Abstract: Within a computer networking environment, a first bid request having data is received. Bids are determined for advertisements based on the data associated with such first bid request. It may be determined that the first bid request's data includes one or more specific types of data for a bonus variable. At least a first portion of the bids that were determined for the first bid request are increased by a bonus amount in response to the one or more specific types of data for a bonus variable being determined to be present in the first bid request's data. For the first bid request, an optimum set of one or more of the bids are selected and transmitted, along with a reference to the associated advertisement, via to a sender of the first bid request.

Abstract: Systems, methods, and devices are disclosed for scalable integration of data events received from data providers. Systems include data aggregators configured to receive data records generated by data providers and user profile data generated by an online advertisement service provider. The data records and the user profile data each identify data events and users. Systems include data provider record generators configured to generate first data provider records and second data provider records based on identifiers included in the data records and user profile data. Systems include partition record generators configured to generate provider partition records based on the first data provider records, and mapping partition records based on the second data provider records. The mapping partition records may include a second user identifier mapping.

Abstract: Techniques and mechanisms described herein facilitate adaptive fuzzy fallback stratified sampling. According to various embodiments, an actual or estimated minimum vertex cover of a feature dependency graph representing a dataset may be determined. The dataset may include a plurality of feature vectors and a plurality of features. Each feature vector may include a plurality of feature values that correspond with the features. The feature dependency graph may represent a plurality of conditional dependencies between the features. The minimum vertex cover may designate a subset of the features for strata selection. The feature vectors may be partitioned into a plurality of strata based on the designated subset of features. Each stratum may include one or more of the feature vectors. Each feature vector may be assigned to a corresponding stratum based on the values of the designated subset of features for the feature vector.

Abstract: A system for generating behavior segments and serving targeted ads. The system generates variables based on data from targeted users, incorporates recency, frequency, and velocity for the variables; optimizes the variables; converts the variables into behavior segments; and saves the behavior segments to a database. The system updates the behavior segments in real time. When a publisher requests an ad call, the system generates a score for advertisements based on the user profile, multiplies the score by the amount each advertiser is willing to pay for serving their ad, selects the highest value, and serves the ad.

Abstract: Systems, methods, and apparatus are disclosed herein. Systems include a plurality of mappers configured to extract a plurality of sequences from user data. The plurality of sequences includes sequential representations of data events associated with a user and a sub-campaign. The plurality of sequences may identify a sequence of data events having action identifiers corresponding to user actions. Systems also include a plurality of reducers configured to generate, for each sub-campaign, a first set of aggregated numbers identifying sequences including action identifiers, and further configured to generate, for each sub-campaign, a second set of aggregated numbers of sequences not including action identifiers. Systems further include a plurality of servers configured to generate a plurality of probabilistic weights. The plurality of servers is further configured to generate a plurality of performance metrics based on the plurality of probabilistic weights.