Patent classifications
G06Q30/0242
AUTOMATION PREVIEW
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for automated management of campaigns using scripted rules.
Deep learning-based revenue-per-click prediction model framework
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform extracting meta features for an item to generate sparse feature embeddings for the item; reducing, using a multilayer perceptron, a dimension of the sparse feature embeddings to generate a representation vector for the meta features; extracting, using a recurrent neural network, sequential data from dense traffic features for the item over a period of time; and inputting the representation vector for the meta features and the sequential data from the dense traffic features into a multilayer neural network with a rectified linear unit (ReLU) activation function and a scoring layer to generate one or more performance metrics for the item. Other embodiments are disclosed.
Deep learning-based revenue-per-click prediction model framework
A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform extracting meta features for an item to generate sparse feature embeddings for the item; reducing, using a multilayer perceptron, a dimension of the sparse feature embeddings to generate a representation vector for the meta features; extracting, using a recurrent neural network, sequential data from dense traffic features for the item over a period of time; and inputting the representation vector for the meta features and the sequential data from the dense traffic features into a multilayer neural network with a rectified linear unit (ReLU) activation function and a scoring layer to generate one or more performance metrics for the item. Other embodiments are disclosed.
DETERMINING VISIBILITY OF RENDERED CONTENT
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for determining whether content rendered on a display is actually visible to a user. In one aspect, a method includes generating and transmitting content presentation data that causes a user device to present, at a display and over a first time period, a content item that includes one or more content portions that are each designated for presentation in a respective first color. For a second time period, the respective first color of a particular content portion is changed to a second color. Visual representation data that includes a visual representation of the display during the second time period is generated and provided. Using the visual representation, an amount of the content item that was visible at the display is determined based on an amount of the particular content portion presented in the second color.
NETWORKED ADVERTISEMENT DISTRIBUTION AND COMPLIANCE
A vehicle advertising system comprises a processor configured to perform operations in response to instructions from a predefined instruction set, a memory, and an advertisement module comprising instructions selected from the instruction set. The instructions when executed on the processor are operable to receive identification and financing information regarding a specific vehicle for sale, to generate a first advertisement formatted for presentation in a search engine result listing based on at least the received identification information and the received financing information, to generate a second advertisement formatted for presentation on a vehicle dealer website landing page associated with the first advertisement and based on at least the received identification information and the received financing information, and to provide a predicted effectiveness score on at least one of the first advertisement and the second advertisement before publication of the at least one advertisement.
METHOD AND SYSTEM FOR BIDDING AND PERFORMANCE TRACKING USING ONLINE ADVERTISMENTS
The claimed subject matter provides a system and/or a method for using longer term site performance data to better estimate optimal click and impression value for a specific source of online advertising inventory, and to use these estimates to optimally adjust bids for specific audience segments.
Systems, devices, and methods for dynamically generating, distributing, and managing online communications
This document describes the collection, generation, distribution, and management of online web content. The devices, systems, and methods described herein can be used to collect and generate online web content and communications. Specifically, the disclosed devices and systems may be employed to produce one or more marketing and/or advertising campaigns, as well as for monitoring, managing, defining the efficiency, effectiveness, and workability of the campaign with respect to generating user engagement, thereby accurately determining the cost benefits of the campaign. The analytic results provided may then be used to guide the generation of original web content, such as for the purposes of enhancing customer or follower experience, driving business, and for driving advertising campaigns. Alternatively, web content that is in the public domain, and determined to perform well, can be reproduced, referenced, or otherwise referred to, in the context of promoting or presenting the user's web content.
METHOD FOR QUANTIFYING ADVERTISING IMPRESSIONS
One variation of a method for quantifying user engagement includes: serving a digital advertisement to a mobile device; recording a first proportion of pixels of the digital advertisement rendered on a display of the mobile device during a first sampling period; recording a second proportion of pixels of the digital advertisement rendered on the display of the mobile device during a second sampling period offset in time from the first sampling period; calculating a cumulative pixel exposure of the digital advertisement at the mobile device based on a combination of a first product of the first proportion of pixels and a duration of the first sampling period and a second product of the second proportion of pixels and a duration of the second sampling period; and storing the cumulative pixel exposure as an engagement metric for a user consuming the digital advertisement at the mobile device.
METHOD FOR QUANTIFYING ADVERTISING IMPRESSIONS
One variation of a method for quantifying user engagement includes: serving a digital advertisement to a mobile device; recording a first proportion of pixels of the digital advertisement rendered on a display of the mobile device during a first sampling period; recording a second proportion of pixels of the digital advertisement rendered on the display of the mobile device during a second sampling period offset in time from the first sampling period; calculating a cumulative pixel exposure of the digital advertisement at the mobile device based on a combination of a first product of the first proportion of pixels and a duration of the first sampling period and a second product of the second proportion of pixels and a duration of the second sampling period; and storing the cumulative pixel exposure as an engagement metric for a user consuming the digital advertisement at the mobile device.
INFORMATION PROVISION SERVICE SYSTEM CAPABLE OF SECURING CONTENT
According to the information provision service system capable of securing content proposed in the present disclosure, the informational content and the advertisement are provided to the digital device, and furthermore, the advertising cost benefit is provided to the advertiser supplying the informational content, so that advertisers are inspired to produce and supply high-quality informational content, thereby solving the problem of lack of content and reducing the advertisers’ burden of advertising costs through the advertising cost benefit. In addition, according to the information provision service system capable of securing content proposed in the present disclosure, the content received from the advertiser are separated into the informational content and the advertising content and the penalty is given to the advertiser that has provided the advertising content, so that the advertising content produced for advertising is excluded and high quality of content is maintained, thereby increasing customer satisfaction with the content.