A method including: detecting a request for a first part of a video; detecting a request for a second part of the video, wherein the video has a video timeline and the second part of the video immediately follows the first part of the video in the video timeline; after detecting the request for the first part of the video and prior to detecting the request for the second part of the video, transmitting a request for a third part of the video, wherein the third part of the video follows the second part of the video in the video timeline; receiving the requested third part of the video; and storing the received third part of the video.

An advertisement attribution method and a device are provided, and relate to the field of electronic devices. When playing a first advertisement, an advertising device broadcasts a wireless signal including an identifier of the advertising device and orientation information that is used to indicate a position and an orientation of the advertising device. A terminal receives the wireless signal, and sends a first advertisement event to a server when determining that the first advertisement played by the advertising device is effectively exposed to a user of the terminal.

A device and system for mobile advertisement and displaying advertisements to people outside a vehicle, and method for use thereof. The device is capable of wirelessly communicating with a separate mobile device, and utilizes one or more processors, a display screen for receiving and displaying images and/or video advertisements, a camera for capturing images of faces as the advertisement is being displayed, and a wireless communication transceiver.

There are disclosed devices, system and methods for predicting a likelihood of whether digital video ads will start on a given user device using a predictive model of the user device. The predictive model simulates a start of play in the user device and determines if the digital video ad started to play.

Methods, apparatuses, and computer program products are provided that utilize a computer-executable tool to identify uninstalled software applications on a particular device. The computer-executable tool is configured to identify the uninstalled software applications based on identifying unresolved program links without affecting execution of other applications on the particular device. Additional processing associated with uninstalled applications may be performed. For example identify, generate, and/or otherwise present impressions associated with the uninstalled application programs. In this regard, for example, such impressions may be presented as part of providing promotions associated with such uninstalled application programs.

Methods, systems, and computer programs are presented for the determination of optimal communication scheduling. Send Time Optimization (STO) uses machine learning (ML) to recommend a personalized send time based on a recipient's past engagement patterns. The purpose of the ML model is to learn patterns in the data automatically and use the patterns to make personalized predictions for each recipient. The send time recommended by the model is the time at which the model believes the recipient will be most likely to engage with the message, such as clicking or opening, and use of the send time mode is expected to increase engagement from recipients. Additional customizations include communication-frequency optimization, communication-channel selection, and engagement-scoring model.

Methods, systems, and apparatuses for presentation of advertising content during presentation of media content and based on data collected from vehicle sensors and a mobile device. Media content, such as stored songs, podcasts, or videos, may be presented to a user. Sensor data corresponding to operation of a vehicle may be collected, and a risk score based on operation of the vehicle may be determined. Based on the risk score, an advertising tier may be determined. The scope of media content available to a user and the frequency of presentation of advertising content during presentation of such media content may be based on the risk score. For example, safe driving behaviors may result in rewards which permit access to more media content, and/or safe driving behaviors may result in fewer advertisements being presented to a user on an in-vehicle display.

A system described herein uses data obtained from a wearable device of a first user to identify a second user and/or to determine that the first user is within a threshold distance of the second user. The system can then access an account of the second user to identify one or more items and retrieve model data for the item(s). The system causes the wearable device of the first user to render, for display in an immersive 3D environment (e.g., an augmented reality environment), an item associated with the account of the second user. The item can be rendered for display at a location on a display that is proximate to the second user (e.g., within a threshold distance of the second user) such that the item graphically corresponds to the second user. The item rendered for display may be an item of interest to the first user.

Aspects of the subject disclosure may include, for example, receiving a request to forecast allocations for a new descriptor, the new descriptor differing from preexisting descriptors, each of the preexisting descriptors being associated with a subset of locations of a network of locations, each location corresponding to an electronic segment in electronic canvases, and the new descriptor being associated with a new subset of locations of the network of locations, identifying one or more affected descriptors having one or more overlapping subsets of locations of the network of locations and one or more non-overlapping subsets of locations of the network of locations, determining a forecast of allocated locations in each of the one or more affected descriptors; identifying, according to the forecast, at least a portion of allocated locations in the one or more overlapping subsets of locations that are displaceable resulting in a number of displaceable allocations, and determining, according to the number of displaceable allocations, a forecast of available unallocated locations with displacement. Other embodiments are disclosed.

A system and method including a downloadable application which forces to view targeted advertisements on their mobile device in order to gain access to use of the mobile device. The ads appear on a lock screen of the mobile device upon powering up or waking up of the mobile device. The user can take one of several actions with respect to the displayed ad and upon such action screen is unlocked and the user is provided with full function of the mobile device. The user can be incented for each action through the accumulation of points which can be used towards paying the user's phone bill or for receiving another reward.