A system for advertisement space recommendation and a checkout process is provided. The system includes an advertisement space recommendation module determines an expected network traffic for each product. The advertisement space recommendation module determines expected profits corresponding to merchants based on expected network traffic and generates a recommendation corresponding to a set of advertisement space to the merchants for selling the products. The system includes an auction module enables the merchants to bid for the set of advertisement space to exhibit the corresponding products. The system includes a checkout URL generator module creates a distinctive URL for the set of advertisement space and enables one-click checkout process for the products displayed on the set of advertisement space on an advertisement platform based on URL for each product across merchants.

With an offer server computer system: receiving a first digital image file; receiving a first mapping of product codes to audience segment identifiers; receiving a temporary price reduction offer dataset; mapping a target identifier for an end user device of a consumer to an audience segment identifier; in response to determining, based on the audience segment identifier, that the TPR offer dataset has a product code and a retailer identifier that map to the audience segment identifier, and an effective date value that includes a current date value, and the retailer identifier corresponds to a retailer location within a specified distance of a then-current location of the end user computing device: creating and storing a digital offer dataset comprising both the first digital image file and a second digital image file that presents data elements of the TPR offer dataset; causing transmission of the dataset to the end user device.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving, from a client device, an ad request for an ad space being for presentation in a user interface of an application on the client device, sending, to bidder systems, a bid request on the ad space, receiving bids from the bidder systems, selecting, from the received bids, a cost-per-view bid corresponding to a first creative and a cost-per-impression bid corresponding to a second creative, and sending a message to the client device wherein the message comprises respective identifiers of the first and second creatives, and wherein the client device is configured to obtain the first creative and present the first creative in the ad space if the ad space is in view one the client device within a specified time period.

A system and method receive a first signal at one or more processors of a promotional system that indicates automatic detection of presentation of a commercial, determine one or more online advertising settings associated with at least one of a product, service, or entity of interest in the commercial that was detected, and determine a current setting for the one or more online advertising settings from a search engine system. The online advertising settings are associated with a website of interest of the at least one of the product, service, or entity of interest. The system and method also send a second signal to the search engine system that temporarily changes the one or more online advertising settings during a time period following detection of the presentation of the commercial.

A method of assigning advertisements to slots in video channels of a bundle of channels provided to an end user. The method includes managing credits, for each specific channel of the channels, indicative of a difference between a number of advertisements provided by an owner of the specific channel that were displayed on other channels and a number of advertisements provided by owners of other channels displayed on the specific channel In addition, scores indicative of a predicted success of the advertisement with the end user are calculated for a plurality of advertisements. An advertisement to be displayed to the end user is selected responsive to a function of both the calculated scores and the managed credits.

Method for online advertising auction on a peer-to-peer network includes: deploying a smart contract to publish a need from a consumer; receiving encrypted ad bids by the smart contract; storing the received ad bids in a hash function; reducing a number of ads that can be displayed by the consumer; transmitting the ad price to the consumer via the peer-to-peer computer network, when the hashed verification code is received from the consumer verifying that the consumer has viewed the ad content within an ad-viewing period of time; transmitting a difference between the advance payment and the ad price to the advertiser, by the smart contract via the peer-to-peer network; and ending the online advertising auction.

A system for processing information requests associated with mobile devices comprises an evaluation module configured to determine at least one performance measure for each of a plurality of information documents using at least data in one or both of a requests database and events database. The at least one performance measure includes at least one of an impression-based performance measure, a click/call-based performance measure, and an off-line site-visit-based performance measure. The system further comprises an information server configured to select a first information document for transmitting to a first mobile device to fulfill a first request. The information server includes a volume control unit configured to derive an off-line site visit projection in response to the first document being selected based at least in part on an off-line site-visit-based performance measure and having been impressed on the first mobile device, and to adjust a budget associated with the first document using the off-line site visit projection.

In various example embodiments, a system and method for providing dynamic bidding notifications and price guidance for buyers are presented. The system receives a selection of a present item listing and accesses historical auction data for a set of historical item listings. The system generates a dynamic bidding model for bidding on the present item and generates one or more bidding notifications based on the dynamic bidding model. The system then causes presentation of the one or more bidding notifications on a client device.

Systems, apparatuses, and methods for implementation of an inference or prediction process using a recurrent neural network (RNN) that is particularly advantageous for low-latency applications. Embodiments introduce an implementation of a recurrent neural network-based system which results in a fixed inference time (i.e., a constant computation time to perform an inference stage) that is independent of input data sequence length. Embodiments may be used to implement real-time data mapping and management and perform an inference strategy that enables the system to be used for serving different types of models, including sequential deep neural networks for low latency (i.e., real-time, or close to real-time) applications.

A method of providing Internet commercialization services to a content owner may include obtaining rights from an owner of Web page contents on a Web page to commercialize the Web page contents, obtaining an ad from an advertiser for placement on the Web page, the advertiser agreeing to pay for placement of the ad, paying for traffic to the Web page based on a bid to a traffic partner and sharing profits with the owner of the Web page contents, if any, from payments by the advertiser above payment to the traffic partner for the traffic. The content owner may be a publisher of content on the Internet. The traffic partner may be a search engine. The method may include automatically providing Internet commercialization services to an Internet publisher. Various aspects of the method may be modified in a closed loop fashion to optimize profits.