Abstract: After a host client establishes a multimedia stream with a guest client, host data is received from a host application. A state machine is updated using the host data. The host application executes on the host client. Guest data is received from a guest application. The state machine is updated using the guest data. The guest application executes on the guest client. Transaction data is propagated between the host application and the guest application. The transaction data is presented with the multimedia stream. The transaction data includes the host data and the guest data. Provider data is generated responsive to updating the state machine with the host data and the guest data. The provider data is sent to the guest client. The provider data is presented with the multimedia stream by the guest application on the guest client.

Abstract: Certain aspects of the present disclosure provide techniques for mapping natural language to stored information. The method generally includes receiving a long-tail query comprising a natural language utterance from a user of an application associated with a set of topics and providing the natural language utterance to a natural language model configured to identify nodes of a knowledge graph. The method further includes, based on output of the natural language model, identifying a node of a knowledge graph associated with the natural language utterance, wherein the output of the natural language model includes a node identifier for the node of the knowledge graph and providing the node identifier to the knowledge engine. The method further includes receiving a response associated with the node of the knowledge graph from the knowledge engine and transmitting the response to the user in response to the long-tail query.

Abstract: Certain aspects of the present disclosure provide techniques for mapping natural language to stored information. The method generally includes receiving a long-tail query comprising a natural language utterance from a user of an application associated with a set of topics and providing the natural language utterance to a natural language model configured to identify nodes of a knowledge graph. The method further includes, based on output of the natural language model, identifying a node of a knowledge graph associated with the natural language utterance, wherein the output of the natural language model includes a node identifier for the node of the knowledge graph and providing the node identifier to the knowledge engine. The method further includes receiving a response associated with the node of the knowledge graph from the knowledge engine and transmitting the response to the user in response to the long-tail query.

Abstract: Certain aspects of the present disclosure provide techniques for processing natural language utterances in a knowledge graph. An example method generally includes receiving a long-tail query comprising a natural language utterance from a user of an application. Operands and operators are extracted from the natural language utterance using a natural language model. Operands may be mapped to nodes in a knowledge graph, the nodes representing values calculated from data input into the application, and operators may be mapped to operations to be performed on data extracted from the knowledge graph. The functions associated with the operators are executed using data extracted from the nodes in the knowledge graph associated with the operands to generate a query result. The query result is returned as a response to the received long-tail query.

Abstract: Certain aspects of the present disclosure provide techniques for optimizing results generated by functions executed using a rule-based knowledge graph. The method generally includes generating a neural network based on a knowledge graph and inputs for performing a function using the knowledge graph. Inputs for the function are received and used to generate a result of the function. A request to optimize the generated result of the function is received. A loss function is generated for the neural network. Generally, the loss function identifies a desired optimization for the function. Values of parameters in the neural network are adjusted to optimize the generated result based on the generated loss function, and the adjusted values of the parameters in the neural network are output in response to the request to optimize the generated result of the function.

Abstract: The present disclosure relates to a trustworthy data exchange. Embodiments include receiving, from a device, a query, wherein the query comprises a question. Embodiments include identifying particular information related to the query. Embodiments include receiving credentials from a user for retrieving the particular information related to the query. Embodiments include retrieving, using the credentials, the particular information related to the query from one or more data repositories that are part of a distributed database comprising an immutable data store that maintains a verifiable history of changes to information stored in the distributed database. Embodiments include determining, based on the particular information related to the query, an answer to the query. Embodiments include providing the answer to the device.

Abstract: Certain aspects of the present disclosure provide techniques for node matching with accuracy by combining statistical methods with a knowledge graph to assist in responding (e.g., providing content) to a user query in a user support system. In order to provide content, a keyword matching algorithm, statistical method (e.g., a trained BERT model), and data retrieval are each implemented to identify node(s) in a knowledge graph with encoded content relevant to the user's query. The implementation of the keyword matching algorithm, statistical method, and data retrieval results in a matching metric score, semantic score, and graph metric data, respectively. Each score associated with a node is combined to generate an overall score that can be used to rank nodes. Once the nodes are ranked, the top ranking nodes are displayed to the user for selection. Based on the selection, content encoded in the node is displayed to the user.

Abstract: Aspects of the present disclosure provide techniques for intent matching. Embodiments include receiving input of text by a user via a user interface. Embodiments include determining weights for portions of the text based on a plurality of keywords. Embodiment include generating an embedding of the text. Embodiments include determining an intent of the text by weighting, based on the weights, word mover's distances from the embedding of the text to a known embedding of known text associated with the intent in order to determine a similarity measure between the text and the known text. Embodiments include providing content to the user via the user interface based on the intent.

Abstract: Certain aspects of the present disclosure provide techniques for mapping natural language to stored information. The method generally includes receiving a long-tail query comprising a natural language utterance from a user of an application associated with a set of topics and providing the natural language utterance to a natural language model configured to identify nodes of a knowledge graph. The method further includes, based on output of the natural language model, identifying a node of a knowledge graph associated with the natural language utterance, wherein the output of the natural language model includes a node identifier for the node of the knowledge graph and providing the node identifier to the knowledge engine. The method further includes receiving a response associated with the node of the knowledge graph from the knowledge engine and transmitting the response to the user in response to the long-tail query.

Abstract: A data-caching system facilitates pre-loading a cache with content objects that are likely to be of interest to a client device, as determined based on their correlation to other content objects served to the client device. During operation, the system can receive an interest for a content object, and can determine whether the local network device can satisfy the interest. If so, the system generates a content-object recommendation that indicates other content objects that are correlated with the received interest, for example, by computing correlation values between the received interest and a plurality of historical interests. The system then provides the content recommendation to a remote network device from which the interest originated, such that the content recommendation indicates the correlated content objects to pre-load into a cache.

Abstract: A data-processing system facilitates processing a data stream to assist other devices to pre-fetch elements of the data stream, out-of-sequence, for uninterrupted playback. During operation, the system can receive a data file, and segments the data file into a sequence of content objects. The system then determines a target content object that is to be processed out-of-sequence, and a corresponding source content object. The system then inserts a reference to the target content object, into the source content object, and stores the sequence of content objects. A client device can disseminate interest to obtain the data stream's content objects. Upon receiving a content object, the client device can determine whether the content object includes a reference to other content objects. If so, the client device can disseminate interests for these referenced content objects.

Abstract: A data-publishing system facilitates broadcasting a data stream so that each client device obtains a personalized data stream. During operation, a publisher can generate an encoded data stream that does not include a reproducible version of the data stream's contents, and generates an encoding sauce to provide to at least one data-brokering system. When a broker receives a request from a client device for access to the data stream, the broker validates the client device's access to the data stream, and uses the encoding sauce to generate a secret sauce for the client device. The client device can process the encoded data stream using instructions in the secret sauce to produce a personalized data stream that includes a reproducible version of the data stream's contents.

Abstract: A content broker can receive a request from a user's client device for access to a data stream, and determines whether the client device has a sufficient number of credits to consume the digital content. If the client device does not have a sufficient number of credits, the broker can provide the client device an opportunity to earn credits. The broker can send to the client device an advertisement stream, and a corresponding challenge query that includes a set of instructions for generating a challenge-response that proves the client device has consumed the advertisement stream. If the broker receives a valid challenge response from the client device, the broker can assign a predetermined number of credits to the user's account.

Abstract: An ad-marketplace system manages an exchange for advertisement opportunities from a plurality of content brokers. Each advertising opportunity can include one or more attributes that describe advertisement slots during a broadcast of a data stream. The ad-marketplace system can receive one or more bids for an advertising opportunity associated with a media stream, and can select a matching bid from an advertiser for the advertising opportunity. Each bid can specify one or more advertising requirements that are to be satisfied by the advertising opportunity. When the ad-marketplace system selects the matching bid, the ad-marketplace system establishes a contract between the media broker, and places an initial payment from the advertiser in escrow. The ad-marketplace system can provide a payment to the media broker after confirming that a set of consumers have consumed the advertisement.

Abstract: A server-handoff system facilitates replicating or migrating a data collection or service to one or more alternative servers of a distributed service. During operation, the system can detect a data-handoff condition for migrating or replicating data to an alternative or newly started server, and determines a namespace that is to be migrated or replicated. The namespace includes a data collection or an application publication space associated with one or more structured name prefixes. The system then identifies the alternative servers to which the namespace is to be replicated, and synchronizes a namespace configuration with the alternative content producer. The namespace configuration identifies a set of data items from the namespace which facilitates the alternative content producer to host the data or service. The alternative content producer can use the namespace configuration to obtain the data items associated with the namespace before hosting the data or service.

Abstract: A client device that obtains a data object for a local user, and can detect a check-in requirement in the data object that instructs the client device to share demographic information with a content broker. The client device generates a check-in message that indicates the data object, and includes identifying information for the local user or the local client device. The client device sends the check-in message to the content broker to share the identifying information. The content broker can analyze the check-in message to determine the user's identifying information, and to determine the data object being consumed by the user. The media broker then stores or aggregates the user's demographic information in a repository, in association with the data object. The media broker generates a response packet that grants the client device access to the data object's contents, and returns the response packet to the client device.

Abstract: An ad-marketplace system manages an exchange for advertisement opportunities from a plurality of content brokers. Each advertising opportunity can include one or more attributes that describe advertisement slots during a broadcast of a data stream. The ad-marketplace system can receive one or more bids for an advertising opportunity associated with a media stream, and can select a matching bid from an advertiser for the advertising opportunity. Each bid can specify one or more advertising requirements that are to be satisfied by the advertising opportunity. When the ad-marketplace system selects the matching bid, the ad-marketplace system establishes a contract between the media broker, and places an initial payment from the advertiser in escrow. The ad-marketplace system can provide a payment to the media broker after confirming that a set of consumers have consumed the advertisement.

Abstract: A client device that obtains a data object for a local user, and can detect a check-in requirement in the data object that instructs the client device to share demographic information with a content broker. The client device generates a check-in message that indicates the data object, and includes identifying information for the local user or the local client device. The client device sends the check-in message to the content broker to share the identifying information. The content broker can analyze the check-in message to determine the user's identifying information, and to determine the data object being consumed by the user. The media broker then stores or aggregates the user's demographic information in a repository, in association with the data object. The media broker generates a response packet that grants the client device access to the data object's contents, and returns the response packet to the client device.

Abstract: A content broker can receive a request from a user's client device for access to a data stream, and determines whether the client device has a sufficient number of credits to consume the digital content. If the client device does not have a sufficient number of credits, the broker can provide the client device an opportunity to earn credits. The broker can send to the client device an advertisement stream, and a corresponding challenge query that includes a set of instructions for generating a challenge-response that proves the client device has consumed the advertisement stream. If the broker receives a valid challenge response from the client device, the broker can assign a predetermined number of credits to the user's account.

Abstract: A data-publishing system facilitates broadcasting a data stream so that each client device obtains a personalized data stream. During operation, a publisher can generate an encoded data stream that does not include a reproducible version of the data stream's contents, and generates an encoding sauce to provide to at least one data-brokering system. When a broker receives a request from a client device for access to the data stream, the broker validates the client device's access to the data stream, and uses the encoding sauce to generate a secret sauce for the client device. The client device can process the encoded data stream using instructions in the secret sauce to produce a personalized data stream that includes a reproducible version of the data stream's contents.