Abstract: An input dataset corresponding to an audience is augmented by joining a first set of individual IDs of the audience with a second set of individual IDs in a set of reference audiences stored within a cloud system. An engagement score is generated for each individual in the first set of individual IDs by processing the input dataset with augmented data using a trained machine learning model. Each ID in the first set of individual IDs is assigned to a tier category. A target audience (a subset of the first set of individual IDs belonging to a particular tier category) is identified. A similarity score is calculated for each individual belonging to the target audience with the second set of individual IDs in the set of reference audiences. An expanded audience is generated based on the similarity scores.

Abstract: Present invention describes a computer-implemented method for managing content to be rendered in a webpage. A web server receives a request to access a webpage. A user identifier or a device identifier is extracted from the request. The web server transmits a request for a Self Sovereign Identity (SSI) to a gatekeeper server using the identifier. The web server receives the SSI generated based on a propensity score indicating extent to which the user has propensity for releasing user's data to a digital platform. The web server extracts data about content preferences, user characteristics, or browsing history from the SSI based on data related to privacy of a user associated with the user identifier. using the data, a content item is selected to fill a content slot on the webpage. The web server configures the webpage such that the selected content item fills the content slot.

Abstract: Systems are disclosed for determining contextual segments for targeting contextual advertising in metaverses. The system can deploy an observer avatar in a metaverse to capture information inside a portion of a metaverse from behaviors and interactions of a target user avatar. The observer avatar can capture audio, video, images, and text perceived by the observer avatar in the area of the user avatar, along with metadata describing the captured information. Using the captured observations, the system can determine contextual segments classifying the portion of the metaverse. Using a library of the contextual segments, advertisers can distribute contextually targeted advertisements.

Abstract: Techniques for determining recommended allocations of resources among different platforms that sell a common type of inventory. Determining the allocations can include obtaining parameters of a campaign from a client. Determining the allocations can include combining current campaign parameters and scoring with historical campaign performance data to create recommendations for dividing resources among different media platforms.

Abstract: Systems are disclosed for determining contextual segments for targeting contextual advertising in metaverses. The system can deploy an observer avatar in a metaverse to capture information inside a portion of a metaverse from behaviors and interactions of a target user avatar. The observer avatar can capture audio, video, images, and text perceived by the observer avatar in the area of the user avatar, along with metadata describing the captured information. Using the captured observations, the system can determine contextual segments classifying the portion of the metaverse. Using a library of the contextual segments, advertisers can distribute contextually targeted advertisements.

Abstract: Techniques for generating smart contract transaction data from a program embedded in the smart contract are disclosed. A distributed ledger system stores a smart contract specifying conditions of a transaction. Based on a user input to initiate the transaction, the system executes the smart contract transaction on the distributed ledger. A node executing the smart contract transaction executes the transaction verification program embedded within the smart contract. The transaction verification program includes instructions for transmitting the parameters of the transaction to a third party.

Abstract: Techniques for determining recommended allocations of resources among different platforms that sell a common type of inventory. Determining the allocations can include obtaining parameters of a campaign from a client. Determining the allocations can include combining current campaign parameters and scoring with historical campaign performance data to create recommendations for dividing resources among different media platforms.

Abstract: Systems and methods presented herein provide for Content On Demand (COD) asset insertion. A COD asset insertion decision system (CODAID) is communicatively coupled to a content distributer to process information about COD content selections by Customer Premises Equipment (CPEs). An auction system is communicatively coupled to the CODAID and to a plurality of asset providers to process information about assets of the providers, to provide an auction for asset opportunities in the COD content selections, to receive bids for the asset opportunities, and to rank the auctioned assets according to bid. The CODAID further ranks the auctioned assets based in part on the COD content selection information and the asset information, identifies one or more of the further ranked assets for insertion into the COD content selection, and directs the content distributer to insert the identified one or more further ranked assets into the COD content selection.

Abstract: Systems and methods presented herein provide for Content On Demand (COD) asset insertion. A COD asset insertion decision system (CODAID) is communicatively coupled to a content distributer to process information about COD content selections by Customer Premises Equipment (CPEs). An auction system is communicatively coupled to the CODAID and to a plurality of asset providers to process information about assets of the providers, to provide an auction for asset opportunities in the COD content selections, to receive bids for the asset opportunities, and to rank the auctioned assets according to bid. The CODAID further ranks the auctioned assets based in part on the COD content selection information and the asset information, identifies one or more of the further ranked assets for insertion into the COD content selection, and directs the content distributer to insert the identified one or more further ranked assets into the COD content selection.

Abstract: One embodiment herein includes a Content On Demand (COD) asset insertion system that is operable to process a plurality of asset campaigns from a plurality of asset managers, to process information from a remote COD content distributor about COD content selections by a plurality of Customer Premises Equipment (CPEs), to identify and qualify assets of the asset campaigns for insertion in the COD content selections, and to direct the remote COD content distributor to insert the qualified assets into the COD content selections. The embodiment also includes an analytics processor that is operable to collect information about the assets inserted in the COD content selections, to modify the asset campaigns based on the collected information, and to present the modified asset campaigns to the COD asset insertion decision system. The COD asset insertion decision system is further operable to re-qualify the assets based on the modified asset campaigns.

Abstract: Systems and methods presented herein provide for Content On Demand (COD) asset insertion. A COD asset insertion decision system (CODAID) is communicatively coupled to a content distributer to process information about COD content selections by Customer Premises Equipment (CPEs). An auction system is communicatively coupled to the CODAID and to a plurality of asset providers to process information about assets of the providers, to provide an auction for asset opportunities in the COD content selections, to receive bids for the asset opportunities, and to rank the auctioned assets according to bid. The CODAID further ranks the auctioned assets based in part on the COD content selection information and the asset information, identifies one or more of the further ranked assets for insertion into the COD content selection, and directs the content distributer to insert the identified one or more further ranked assets into the COD content selection.

Abstract: Aspects of the subject disclosure may include, for example, a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations that encompass: determining a cluster of mobile devices at a premises comprising a media server, wherein the media server is communicatively coupled to the system through a network; establishing a physical location of the premises; associating one or more mobile devices of the cluster of mobile devices with the premises; and providing a service to the one or more mobile devices associated with the premises. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations that encompass: determining a cluster of mobile devices at a premises comprising a media server, wherein the media server is communicatively coupled to the system through a network; establishing a physical location of the premises; associating one or more mobile devices of the cluster of mobile devices with the premises; and providing a service to the one or more mobile devices associated with the premises. Other embodiments are disclosed.

Abstract: Systems and methods presented herein provide for Content On Demand (COD) asset insertion. A COD asset insertion decision system (CODAID) is communicatively coupled to a content distributer to process information about COD content selections by Customer Premises Equipment (CPEs). An auction system is communicatively coupled to the CODAID and to a plurality of asset providers to process information about assets of the providers, to provide an auction for asset opportunities in the COD content selections, to receive bids for the asset opportunities, and to rank the auctioned assets according to bid. The CODAID further ranks the auctioned assets based in part on the COD content selection information and the asset information, identifies one or more of the further ranked assets for insertion into the COD content selection, and directs the content distributer to insert the identified one or more further ranked assets into the COD content selection.

Abstract: Systems and methods presented herein provide for distributing asset opportunities across COD providers. One system includes an asset load manager (ALM) that receives information from the COD providers about asset opportunities for COD content of the COD providers. The ALM selected asset opportunity and delivers it to a trading platform that offers the asset opportunity to the remaining COD providers. The ALM also receives, from the trading platform, sale information of the asset opportunity to another of the COD providers and information of an asset used to fill the asset opportunity. An asset opportunity information system (AOIS) interfaces with an asset decision system (ADS), to direct the ADS to configure asset rankings and removals according to rules of the second COD provider. The ADS directs an asset insertion into the COD content of the first COD provider based on the asset ranking.

Abstract: Systems and methods presented herein provide for Content On Demand (COD) asset insertion. A COD asset insertion decision system (CODAID) is communicatively coupled to a content distributer to process information about COD content selections by Customer Premises Equipment (CPEs). An auction system is communicatively coupled to the CODAID and to a plurality of asset providers to process information about assets of the providers, to provide an auction for asset opportunities in the COD content selections, to receive bids for the asset opportunities, and to rank the auctioned assets according to bid. The CODAID further ranks the auctioned assets based in part on the COD content selection information and the asset information, identifies one or more of the further ranked assets for insertion into the COD content selection, and directs the content distributer to insert the identified one or more further ranked assets into the COD content selection.

Abstract: One embodiment herein includes a Content On Demand (COD) asset insertion system that is operable to process a plurality of asset campaigns from a plurality of asset managers, to process information from a remote COD content distributor about COD content selections by a plurality of Customer Premises Equipment (CPEs), to identify and qualify assets of the asset campaigns for insertion in the COD content selections, and to direct the remote COD content distributor to insert the qualified assets into the COD content selections. The embodiment also includes an analytics processor that is operable to collect information about the assets inserted in the COD content selections, to modify the asset campaigns based on the collected information, and to present the modified asset campaigns to the COD asset insertion decision system. The COD asset insertion decision system is further operable to re-qualify the assets based on the modified asset campaigns.

Abstract: Systems and methods presented herein provide for Content On Demand (COD) asset insertion. A COD asset insertion decision system (CODAID) is communicatively coupled to a content distributer to process information about COD content selections by Customer Premises Equipment (CPEs). An auction system is communicatively coupled to the CODAID and to a plurality of asset providers to process information about assets of the providers, to provide an auction for asset opportunities in the COD content selections, to receive bids for the asset opportunities, and to rank the auctioned assets according to bid. The CODAID further ranks the auctioned assets based in part on the COD content selection information and the asset information, identifies one or more of the further ranked assets for insertion into the COD content selection, and directs the content distributer to insert the identified one or more further ranked assets into the COD content selection.

Abstract: One embodiment herein includes a Content On Demand (COD) asset insertion system that is operable to process a plurality of asset campaigns from a plurality of asset managers, to process information from a remote COD content distributer about COD content selections by a plurality of Customer Premises Equipment (CPEs), to identify and qualify assets of the asset campaigns for insertion in the COD content selections, and to direct the remote COD content distributor to insert the qualified assets into the COD content selections. The embodiment also includes an analytics processor that is operable to collect information about the assets inserted in the COD content selections, to modify the asset campaigns based on the collected information, and to present the modified asset campaigns to the COD asset insertion decision system. The COD asset insertion decision system is further operable to re-qualify the assets based on the modified asset campaigns.

Abstract: Systems and methods presented herein provide for messaging between user equipment (UEs) in a Content On Demand (COD) network. In one embodiment, a system comprises a first COD provider operable to process a request for COD content from a first of a plurality of UEs, to deliver the COD content to the first UE, and to process a first message from the first UE. The first message includes an invitation to a second of the UEs to view the COD content. A router is communicatively coupled to the first COD provider. The router is operable to route the first message to the second UE and to process a selection message from the second UE. The selection message requests that the COD content be delivered to the second UE. The router is further operable to direct a media server to deliver the COD content to the second UE.