Abstract:
A system (1000) is disclosed including a resource allocation optimization (RAO) platform (1002) for optimizing the allocation of resources in network (1004) for delivery of assets to user equipment devices (UEDs) (1012). The RAO platform (1002) determines probabilities that certain asset delivery opportunities (ADOs) will occur within a selected time window and uses these probabilities together with information concerning values of asset delivery to determine an optimal use of asset deliveries. In this regard, the RAO platform (1004) received historical data from repository (1014) that facilitates calculation of probabilities that ADOs will occur. Such information may be compiled based on asset delivery records for similar network environments in the recent past or over time.
Abstract:
A system (1000) is disclosed including a resource allocation optimization (RAO) platform (1002) for optimizing the allocation of resources in network (1004) for delivery of assets to user equipment devices (UEDs) (1012). The RAO platform (1002) determines probabilities that certain asset delivery opportunities (ADOs) will occur within a selected time window and uses these probabilities together with information concerning values of asset delivery to determine an optimal use of asset deliveries. In this regard, the RAO platform (1004) received historical data from repository (1014) that facilitates calculation of probabilities that ADOs will occur. Such information may be compiled based on asset delivery records for similar network environments in the recent past or over time.
Abstract:
Assets of broadcast network content are targeted to network users of interest based on location information regarding user equipment devices. Asset providers can specify location targeting criteria via a graphical user interface displaying mapping information. This location targeting criteria can then be compared to location information regarding user equipment devices so that assets are delivered to appropriate devices. The comparison of the location targeting criteria to the device location information can be performed at the user equipment devices or at another location. In the latter case, the assets can be addressed to appropriate user equipment devices or appropriate user equipment devices can be directed to select the asset, which is broadcast via the network. In this manner, assets can be targeted to individual network users on a basis independent of network topology.
Abstract:
An addressable asset system (100) includes user equipment devices (UEDs) (102), a cloud decisioning system (CDS) (106) and a business data management system (BDMS) (108). The BDMS (108) collects information that is used by the CDS (106) to manage delivery of assets by the UEDs (102). In an exemplary network architecture, the CDS (106) is independent of the network insertion and delivery equipment. In particular, the broadcast content stream is delivered to the UED (102) by a digital content management (DCM) system (110) and certain assets are separately delivered to the UED (102) by the asset download network (ADN) (112). This allows the CDS (106) to remain independent of the network of the UED (102) such that the CDS (106) can operate across networks.
Abstract:
Embodiments of the invention provide systems and methods for constructing a schedule well before the time of an asset delivery opportunity that associates a collection of one or more assets, potentially from multiple advertisers or asset providers, that are planned to play in each asset delivery opportunity. Specific rules for each device also determine which asset each will play, thereby ensuring that campaigns of total asset delivery and asset delivery pacing are approximately fulfilled. This scheduling can be accomplished using marketing data associated with each user device and can be prepared in a practicable period of time using reasonable processing resources.
Abstract:
Systems and methods are disclosed that allow for providing targeted asset/advertisements for broadcast-wide programming feeds. The systems and methods allow network platforms to select among asset options provided with a content stream and/or replace assets in the content stream. In one arrangement, after selecting an asset, the asset is inserted into the content stream and the content stream is disseminated to subsequent network platforms (e.g., local platforms). At this time, the local platforms may insert local assets into the content stream in predetermined local asset insertion spots.
Abstract:
Systems and methods are disclosed that allow for providing targeted asset/advertisements for broadcast-wide programming feeds. The systems and methods allow network platforms to select among asset options provided with a content stream and/or replace assets in the content stream. In one arrangement, after selecting an asset, the asset is inserted into the content stream and the content stream is disseminated to subsequent network platforms (e.g., local platforms). At this time, the local platforms may insert local assets into the content stream in predetermined local asset insertion spots.
Abstract:
A system (1000) is disclosed including a resource allocation optimization (RAO) platform (1002) for optimizing the allocation of resources in network (1004) for delivery of assets to user equipment devices (UEDs) (1012). The RAO platform (1002) determines probabilities that certain asset delivery opportunities (ADOs) will occur within a selected time window and uses these probabilities together with information concerning values of asset delivery to determine an optimal use of asset deliveries. In this regard, the RAO platform (1004) received historical data from repository (1014) that facilitates calculation of probabilities that ADOs will occur. Such information may be compiled based on asset delivery records for similar network environments in the recent past or over time.
Abstract:
Systems and methods presented herein generally provide for the compensation of asset providers and/or communications network providers for the non-consumption of assets provided with programming. In this regard, when users elect not to consume the assets associated with the programming, the asset provider loses the opportunity to present their assets to such non-consuming users and is thereby injured in relation to the price they have paid for the delivery of their assets. In one arrangement, a reporting module at a customer device is operative to identify when a user skips an asset and report that skip event to the network. This information may then be utilized to adjust the bill of the asset provider and/or to bill the user associated with the skip event.
Abstract:
A request for information (RFI) system is provided for use in communications networks including broadcast networks and the internet. In one implementation, a viewer of a cable television network enters an RFI input (1) to a digital set top box using a user remote. Based on this RFI input, the digital set top box transmits a data request (2) to an RFI data center. The RFI data center also receives asset data (3) from an asset database so as to associate the RFI input (1) with a particular asset. An RFI request (4) can then be transmitted to the appropriate asset provider. The asset provider can then provide a report such package of assets or follow-on information (5) back to the RFI data center. The RFI data center may then, in turn, provide the package of assets or follow-on information to a user data terminal, for example, of the cable television network viewer, via access through a web-portal or e-mail (6). The digital set top box may also record inputs from the user to verify consumption of assets and track data requests. Using this information, the RFI data center or an RFI platform may credit value to a rewards account established for the network user based on the user's verified consumption of assets and/or data requests. Further, the RFI data center or RFI platform may be used to collect consumer behavior information, including purchasing decisions made by the user after consumption of assets, and correlate the consumer behavior information with the user's verified asset consumption.