Provided is a system that includes a circuit to generate an interactive item based on a request received from a first distribution network or a second distribution network. The interactive item is overlaid over a media item present in media content. The circuit then activates the generated interactive item overlaid over the media item of the media content. Further, the circuit receives an event trigger, from a client application engine operational on a user device associated with a user, for a selection of the activated interactive item. A personalized list is generated for the event trigger for the selection of the interactive item. Further, the generated personalized list is transmitted for a display for a defined time duration, to one of the first distribution network, the second distribution network or the client application engine operational on the user device.

Provided is a system that includes a memory for storing instructions and a circuitry for executing instructions for management and delivery of OTT services over different content-streaming systems. The circuitry determines a media item in media content of a distribution network. An interactive item is overlaid over the media item in the media content of the distribution network. A personalized list is further generated based on a selection of the interactive item overlaid over the media item in the media content of the distribution network The circuitry further selects a user-selectable option in the generated personalized list with the media content on a client application engine for a defined time duration and determines a measure of an intent score of the user.

A system and methods for generating dynamic market pricing that is fair for both publishers and advertisers and the use of the pricing in real-time auctions. When a user views content over the internet, an online publisher provides content to the user with executable instructions, which notify an advertisement source that there is an impression for filling by an advertiser. The impression is submitted to a real-time bidding market for competing advertisers to bid to fill the impression with an advertisement. The system and methods generate dynamic pricing for the individual competing advertisers and use the dynamic pricing to compare advertiser bids to determine a highest or winning bid and a clearing price associated with the highest or winning bid.

System architecture and methods for enabling an online real-time auction (either server-side or client-side) of advertising inventory that works in conjunction with ad serving technologies. In some implementations, the system architecture facilitates multiple parallel requests from an end-user's browser client to multiple real-time bidders who respond with a bid and advertisement that are sent to an ad serving system to be compared with other statically priced advertisements and exchange demand to determine the winning advertisements that will be displayed to the end-user. Data is aggregated for each bid and price limits are set based on the aggregations. In other implementations, all the bids from the multiple bidders are passed to the publisher for selection of a bid by the publisher.

A system is provided that receives a request based on a detection of at least one of digital fingerprints and digital watermarks in media content. The system searches for one of fingerprint information or watermark information in a registry for the at least one of the digital watermarks or the digital fingerprints in the media content, based on analysis of at least one of a context, a user preference, or a defined goal of different segments in programming media content and non-programming media content of the media content. The fingerprint information or the watermark information enables the first processor to keep track of a user engagement with the media content. The fingerprint information or the watermark information is transmitted to a client device. Delivery of a service is enabled by a second processor of the client device via a fulfilment server to perform an action on the non-programming media content.

Method for celebrity-based advertising includes storing, in a server, a likeness of subject and a corresponding booking that includes parameters outlining availability of the subject for digital advertising. The method further includes receiving or creating, by the server, a pitch that falls within the parameters of the booking, the pitch corresponding to the subject. The method further includes receiving, by the server and from a first user device, a first image of the likeness of the subject or another likeness of the subject. The method further includes determining, by the server, that the image matches the likeness of the subject. The method further includes transmitting, by the server, the pitch to the first user device to be output by the first user device.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform: receiving one or more objectives and one or more constraints from a user electronic device of a user; generating a combined objective using the one or more objectives; calculating, using the combined objective, a return per click for an advertisement campaign; determining one or more bids based on (a) the return per click for the advertisement campaign and (b) a return on advertising spend for the advertisement campaign; estimating, using a first predictive algorithm and the one or more bids, an average cost per click; estimating an expected number of clicks for the advertisement campaign based on the average cost per click; determining a total amount used of the one or more constraints for the one or more bids based on the expected number of clicks for the advertisement campaign; and when the total amount used of the one or more constraints for the one or more bids exceeds at least one of the one or more constraints, lowering the one or more bids. Other embodiments are disclosed herein.

A method including obtaining real-time observed orders per minute (OPM) data. The method also can include training a prediction model to make a real-time OPM prediction for a current time period, based on the real-time observed OPM data over past time steps based on lagged time steps in a moving average. The method additionally can include determining, in real-time, whether a demand surge exists based on the real-time observed OPM data and the real-time OPM prediction, to generate a first surge modifier. The method further can include when the demand surge exists, generating, in real-time, a sub-hour revenue per click (RPC) prediction for a first sub-hour time interval. The method additionally can include determining, in real-time, the first surge modifier for the first sub-hour time interval. The method further can include uploading, in real-time, the first surge modifier to a dayparting system of a search engine to bypass existing time intervals and modifiers. Other embodiments are described.

Systems and methods are provided for determining a media cost equivalent to attribute to the appearance of a sponsor's logo or other object in a media item, such as an image or video. This determination may be based on factors such as clarity, prominence, visibility, size, or placement of a sponsor logo or other object related to the sponsor within at least one media item. One or more machine learning models may be utilized to automatically identify objects within, and otherwise analyze, image data in order to determine sponsor value.

Resource allocation includes generating a resource allocation identifier corresponding to a resource allocation request. The resource allocation request pertains to allocation of a resource associated with streaming of an audiovisual content item. The resource allocation identifier comprises a first portion and a second portion, the first portion comprising a key, and the second portion comprising information associated with contextual metadata pertaining to the corresponding resource allocation request. It further includes performing a first transmission of a first message including the resource allocation identifier. The first message including the resource allocation identifier is directed to a first address associated with a first entity. It further includes performing a second transmission of a second message. Transmission of the second message causes transmission of the resource allocation request. The second message is directed to a second address associated with a second entity. The first address and the second address are different.

Resource allocation includes receiving a first message comprising a resource allocation identifier. It further includes, at a time subsequent to receiving the first message, receiving a second message comprising a resource allocation request pertaining to allocation of a resource associated with streaming of an audiovisual content item. It further includes matching the resource allocation request with the resource allocation identifier. It further includes, based at least in part on the match, receiving contextual metadata associated with the resource allocation request. It further includes facilitating resource allocation at least in part by using the contextual metadata.