Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reducing latency in network communications and data presentation. In one aspect, a user session is initiated in which data related to an account is presented to the user. A user group to which the given user has been assigned is identified. A first dataset related to the account is selected based on the user group. A second dataset related to the account is selected based on types of data previously requested by various other users in the user group. A user interface for the account is updated to present at least a portion of the first dataset. Latency in updating the user interface is reduced when presenting additional portions of the first dataset or the second dataset by providing, to the client device, the second dataset prior to receiving a request for the second dataset.

A method and system for pricing advertisement placements online in a real-time bidding (RTB) environment is disclosed. According to one embodiment, a computer-implemented method includes receiving a plurality of responses from a plurality of real-time bidding (RTB) requests for an advertisement placement and determining a first data set from the plurality of responses, where the first data set includes prices paid for winning the advertisement placement. The computer-implemented method further includes determining a second data set from the plurality of responses, where the second data set includes losing bid prices, and estimating a price distribution curve based on one or more of the first data set and the second data set.

The present disclosure includes a system, method, and article of manufacture for targeting ad impressions. A list of customer records may be transmitted to a service provider system that identifies a matched customer and installs a cookie on a web client associated with the matched customer. The system may further receive a campaign request from a merchant and transmit the campaign request to the service provider system which may add a flag to the cookie based on the campaign request as well as instruct a media buyer system to bid on an ad impression for the matched customer based on the flag. The system may further receive an expenditure associated with the matched customer who received the ad impression and compare the expenditure to an expenditure associated with a customer who did not receive targeted ad impression but fits parameters associated with the campaign request.

The present disclosure includes a system, method, and article of manufacture for targeting ad impressions. A list of customer records may be transmitted to a service provider system that identifies a matched customer and installs a cookie on a web client associated with the matched customer. The system may further receive a campaign request from a merchant and transmit the campaign request to the service provider system which may add a flag to the cookie based on the campaign request as well as instruct a media buyer system to bid on an ad impression for the matched customer based on the flag. The system may further receive an expenditure associated with the matched customer who received the ad impression and compare the expenditure to an expenditure associated with a customer who did not receive targeted ad impression but fits parameters associated with the campaign request.

Methods and apparatus to determine efficiencies of media delivery across platforms are disclosed. An example method includes measuring, with a sensor, first neuro-response data from a person when exposed to media output via a first media delivery platform type. Measuring second neuro-response data from the person when exposed to media output via a second media delivery platform type, different than the first media delivery platform type. Accessing a first and second performance metric for the respective media delivery platform type, the performance metrics based on a first and second reach of the respective media delivery platform types with respect to a target group of audience members. Accessing a first and second effectiveness metric for the respective media delivery platform types, the effectiveness metric based on the respective neuro-response data. Rating at least one of the first or second media delivery platform types based on the first and the second platform metrics.

Systems and methods for evaluating online videos. One method includes receiving a URL; determining a URL type; detecting whether the URL includes one or more videos; determining at least one of a size of the video, a position of the video on a web page of the web page URL, whether the video is set to autoplay, and whether the video is set to mute; computing a score based on one or more of the size of the video, the position of the video on the web page of the web page URL, whether the video is set to autoplay, and whether the video is set to mute; obtaining at least two frames of at least part of the video, wherein each frame is obtained at one or more predetermined intervals during playback of the video; and classifying each detected video based on the at least two frames.

A system and method for formatting an electronic document. Format preference information related to the format of a user network site associated with a user is received. Document format criteria based on the format preference information and format performance information is automatically determined. An electronic document associated with the user network site is output according to the document format criteria.

Portable devices include environmental sensors that generate metrics about the environment (e.g., accelerometers detecting impulses and vibration, and GPS receivers detecting position and velocity). Such devices often use environmental metrics to extract user input directed at the device by the user, and status information about the device and the environment. Presented herein are techniques for using environmental metrics to infer physical activities performed by the user while attached to the device. For example, jogging may be inferred from regular, strong impulses and typical jogging speed; walking may be inferred from regular, weak impulses and typical walking speed; and riding in a vehicle may be inferred from low-level vibrations and high speed (optionally identifying the type of vehicle ridden by the user). Based on these inferences, the device may automatically present applications and/or or adjust user interfaces suitable for the user's physical activity, rather than responsive to user input.

Systems and methods for providing purchase recommendations include determining a shopping list including a plurality of items associated with a customer. The financial information that is associated with the customer is retrieved from a non-transitory memory. At least one selected item from the shopping list is determined based on the financial information. A purchase recommendation including the at least one selected item is generated. The purchase recommendation is provided for display on at least one customer device.

A filtering machine receives sponsored content and filters the sponsored content according to a quality metric generated by quality model circuitry and assigned to the instance of sponsored content. The quality model circuitry generates the quality metric in accordance with historical feedback received about other sponsored content and a collection of quality factors pertaining to the sponsored content. Based on the quality metric for the sponsored content, the filtering machine can effect service of the sponsored content to a user device for display thereon.