A digital broadcast receiver for receiving a broadcast signal, includes a tuner configured to receive the broadcast signal including service data in a broadcast signal and application signaling information, wherein the application signaling information includes a URL (Uniform Resource Locator) of an entry page of a broadcaster application for the digital broadcast receiver, a cache configured to store a content for the broadcaster application and a processor configured to launch the broadcaster application based on the application signaling information, wherein the entry page of the broadcaster application is loaded based on the URL, and the URL is used to point to a server.

A computer-implemented method may include: receiving, by a first computer server, content provider data and content item data; identifying a plurality of profile elements by applying machine learning techniques to the received content provider data and content item data; calculating a first plurality of profile element scores for the content provider in each of the plurality of profile elements and a second plurality of profile element scores for the plurality of content items in each of the plurality of profile elements; determining, by utilizing one or more distance algorithms, profile element vector distances between the first plurality of profile element scores for the content provider and the plurality of second profile element scores for the plurality of content items; ranking the plurality of content items based on the determined profile element vector distances; and generating an interactive graphical user interface (GUI) displaying a plurality of radar graphs.

A client computing system inserts selected advertising into digital content. Ads may be inserted into content based on a dynamic advertising matching process that is securely implemented within a hardware-based root of trust. User profiles used in ad matching may be privacy protected and maintained with confidentiality protection in the client computing system and/or a service provider server, respectively. When a client computing system makes a request to the service provider server for content with specified ad slots, the request may be made with the client's EPID signature, which is inherently privacy protected. The hardware-based root of trust protects insertion of selected ads into the linear rendering flow of the content.

Systems and methods are provided herein for providing recommendations to a user. A short-media viewing profile may be maintained for the user. The short-media viewing profile may be based on user's behavior while watching short-length media content. A long-media viewing profile may be maintained for the user. The long-media viewing profile may be based on user's behavior while watching long-length media content. In response to determining that the user is currently engaged in viewing short-length media content, a recommendation is provided to the user based on the short-media viewing profile. In response to determining that the user is currently engaged in viewing long-length media content, a recommendation is provided to the user based on the long-media viewing profile.

Systems and methods are disclosed for providing non-intrusive advertising content to users. The method includes receiving user input reflecting user content preferences for receiving desired content related to specific topics in lieu of standard advertising slots while watching playable media content via a set-top box. The method may further include receiving a request for playable media content and then retrieving desired content based on user content preferences. Thereafter, the method may include choosing non-intrusive advertising content and generating datagrams that include the desired content and the non-intrusive advertising content. The datagrams may be concatenated with the playable media content to generate displayable content. The display content may then be provided for displaying.

Systems and methods for managing Application Programming Interfaces (APIs) are disclosed. Systems may involve automatically generating a honeypot. For example, the system may include one or more memory units storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may include receiving, from a client device, a call to an API node and classifying the call as unauthorized. The operation may include sending the call to a node-imitating model associated with the API node and receiving, from the node-imitating model, synthetic node output data. The operations may include sending a notification based on the synthetic node output data to the client device.

Systems and methods for enabling quick access to media options are provided. A display of a plurality of icons is generated, wherein each of the plurality of icons represents a different one of a plurality of applications. A user input is detected that identifies a first of the plurality of icons associated with a first of the plurality of applications. In response to determining that the user input corresponds to a quick access operation, first and second media asset identifiers and corresponding media options are retrieved from each of second and third applications. A menu that includes the retrieved first and second media asset identifiers is generated for display with the plurality of icons.

A hospitality property management tool and system and method for use of the same are disclosed. In one embodiment of the system, the system includes a set-top box located in a room at a hospitality establishment having multiple rooms. The set-top box stores various types of set-top box data and transmits the set-top box data to a remote server. The remote server receives and stores the set-top box data. The server may render a map view of the hospitality establishment based on obtained map data. The map view may include a graphical representation of the room and other rooms at the hospitality establishment. The server may annotate the graphical representation of the room with at least a portion of the set-top box data.

Systems and methods are operable to notify a user of content availability. An exemplary embodiment receives a content availability notification request that specifies at least one content of interest, searches current electronic program guide (EPG) information to identify the content of interest, determines that the information identifying the specified content of interest is unavailable based upon the search of the current EPG information, generates a content availability reminder that is associated with the specified content of interest, monitors a content database to determine an availability of the specified content of interest identified in the content availability reminder, determines that the specified content of interest is available when the monitored content database indicates availability of the specified content of interest, and generates a content availability reminder notification that indicates at least a title of the specified content of interest.

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.