Systems and methods for providing an advertisement marketplace where buyers and sellers can trade mediacast advertisement inventory programmatically at local, national, and/or worldwide levels. The marketplace system may include a seller-controlled marketplace system which connects sellers with buyers and offers revenue management tools for optimizing yields across direct and programmatic channels. The advertisement inventory is bought and sold as canonical inventory units which group similar but discrete advertisement slots together. The marketplace system may include a seller side platform (SSP) for sellers through which sellers can access demand across multiple sales channels and can make advertisement inventory available and accept or reject bids based on marketplace demand.

Embodiments of the present invention provide for machine learning-based systems and methods for preventing fraud in programmatic advertising. The systems and methods provide for applying a plurality of machine learning models to data associated with a bid request, determining if the bid request is associated with fraudulent activity as a result of the machine learning models, and selectively preventing the bid request from being provided to potential buyers based on the determination.

An adaptive bidding system for networked advertising. A bid request is received from an exchange over a network. Each bid request represents the opportunity to bid on an advertising opportunity. A processing time limit is determined based at least in part on a network latency measurement and an exchange reported timeout. The execution of one or more tasks is initiated by the adaptive bidding system. A response is determined from one or more results which are available before the processing time limit expires. The execution of any tasks that have not completed execution before the processing time limit expires are terminated. The response is provided to the exchange.

A method of serving Real Time Bidding (RTB) requests received from client devices based on availability of advertisements (ADs) at an edge storage, comprising using an RTB server for receiving RTB request(s) from one or more client devices for impression(s) in AD placement(s) offered by online content presented by the client device(s) to associated user(s), forwarding the RTB request(s) to AD exchange(s) and receiving in response a plurality of bid offers received from advertisers for purchasing the impression(s) for posting a plurality of ADs, identifying among the plurality of ADs cached AD(s) stored at an edge storage located at an edge of a network serving the client device(s), adjusting bid offers relating to non-cached ADs to reflect cost of network resources required for downloading the non-cached AD(s) and initiating service of AD(s) associated with highest bid offer(s) among the adjusted bid offers and bid offers relating to the cached AD(s).

A hybrid, optimized exchange is provided, the hybrid, optimized exchange operably connected to a demand-side platform (DSP), the hybrid, optimized exchange further operably connected to a supply-side platform (SSP), the hybrid, optimized exchange configured to receive an advertising request, the hybrid, optimized exchange further configured to conduct, using a bid floor, a hybrid, optimized DSP auction of the advertising request among a plurality of DSPs, thereby generating a winning DSP that makes a winning DSP bid in an automated advertising auction system after the SSP initiates an SSP auction of the advertising request, the hybrid, optimized exchange optimizing the bid floor provided to the plurality of DSPs in the hybrid, optimized DSP auction and simultaneously optimizing a shading factor used by the hybrid, optimized exchange to place a hybrid, optimized bid on behalf of the winning DSP in the SSP auction.

The subject technology identifies a series of journey event types in an online user journey, the event types including an impression event, an email event, a click event, and a website visit, and assigns an encoder to each event type. Using an assigned encoder, the technology encodes each event type to generate an encoded vector for each event type. The encoded vector is representative of at least a portion of the online user journey relating to that event type. The technology generates an encoded vector for each event type to create a set of encoded vectors, the set of encoded vectors including one or more of an impression event encoded vector, an email event encoded vector, a click event encoded vector, and a website visit encoded vector. The technology aggregates the set of encoded vectors to generate an output of the online user journey encoder, the output including a composite encoded user journey vector for training one or more attention layers to make a prediction.

A social networking system provides content items to a user via a feed that may include one or more sponsored content items. Multiple sponsored content items may be included in a set that is presented in the feed via a scrollable content unit that presents a sponsored content item from the set and presents additional sponsored content items from the set when user interaction is received. To place sponsored content items in the feed, the social networking system scores a set of sponsored content items based on prior user interactions with content presented via scrollable content units and a bid amount of a sponsored content item in the set. The set of sponsored content items is ranked among other sponsored content items based on its score. If the set of sponsored content items is selected for inclusion in the feed, the social networking system orders the sponsored content items in the set for presentation via the scrollable content unit.

Systems, methods, and computer program products are provided for auctioning advertising inventory for various applications, including for mobile applications. In various embodiments, a request for an advertisement is received at a first server from a client device. The request is sent, from the first server, to two or more remote servers. A bid value and an asset to be presented at the client device is received from each of the two or more remote servers. A highest bid is determined from the received bid values. Whether the asset associated with the highest bid is compliant based on the request is determined. When the asset is determined to be compliant, the asset is sent to the client device.

A computing device is configured to generate a content reference for content displayed on a webpage. An encrypted reference is generated for the content reference. The content is provided, with the content reference, to a client device. A website is provided for the client device upon selection of the content by a user input on the webpage. The website includes an offering and related offerings associated with the content. In accordance with a web action received from the website, a logical table is updated with an entry associated with the encrypted reference. The update may be associated with a credit or a charge based at least in part on the web action for the offering or the related offerings.

A method including receiving a digital promotion payload from a brand manufacturer for at least one branded consumer packaged good, the digital promotion payload including a digital promotion value associated with the branded consumer packaged good, is provided. The method includes receiving a bid request to the digital promotion engine, providing a bid response to the bid request, the bid response including the digital promotion payload, and receiving, from the supply side platform, a confirmation that the bid response has been selected from one or more bids from different digital advertising entities. The method includes providing a command to the supply side platform to deliver the digital promotion payload to a mobile device accessing a resource from the mobile display publisher, and loading the digital promotion value to a frequent shopper identification in response to a consumer interaction with the digital promotion payload detected from the mobile device.