Abstract: The systems and methods described herein optimize the retrieval of missed content by playing back cached content to enable tuners with limited capacity to retrieve the missed content. A content presentation system may receive, with a tuner, a transmission of content comprising media content and advertisements. The content presentation system may cache the advertisements. The content presentation system may determine whether an interruption during the transmission resulted in a missed portion of content and, in response, determine whether an advertisement upcoming at a time period in the transmission of content is cached. If the upcoming advertisement is cached, the content presentation system may play back the cached advertisement at the time period and release the tuner previously receiving the transmission of content to retrieve the missed portion of the content during the time period.

Abstract: Methods and systems for generating conversation models from documents are described herein. A system may receive a document and generate a conversation model that may be deployed by a chatbot or other automated agent (e.g., voice assistant, messenger bot, etc.). The chatbot may use the conversation model to engage in a conversation with a user and obtain information from the user to complete the document. The system may generate questions to ask the user based on text in the document that indicates a request for information. Additionally, the system may provide instructions to a user via a chatbot. The instructions may be generated based on text in the document that explains how to fill out the document.

Abstract: Methods and systems for generating conversation models from documents are described herein. A system may receive a document and generate a conversation model that may be deployed by a chatbot or other automated agent (e.g., voice assistant, messenger bot, etc.). The chatbot may use the conversation model to engage in a conversation with a user and obtain information from the user to complete the document. The system may generate questions to ask the user based on text in the document that indicates a request for information. Additionally, the system may provide instructions to a user via a chatbot. The instructions may be generated based on text in the document that explains how to fill out the document.

Abstract: Methods and systems for generating conversation models from documents are described herein. A system may receive a document and generate a conversation model that may be deployed by a chatbot or other automated agent (e.g., voice assistant, messenger bot, etc). The chatbot may use the conversation model to engage in a conversation with a user and obtain information from the user to complete the document. The system may generate questions to ask the user based on text in the document that indicates a request for information. Additionally, the system may provide instructions to a user via a chatbot. The instructions may be generated based on text in the document that explains how to fill out the document.

Abstract: Methods and systems for generating conversation models from documents are described herein. A system may receive a document and generate a conversation model that may be deployed by a chatbot or other automated agent (e.g., voice assistant, messenger bot, etc). The chatbot may use the conversation model to engage in a conversation with a user and obtain information from the user to complete the document. The system may generate questions to ask the user based on text in the document that indicates a request for information. Additionally, the system may provide instructions to a user via a chatbot. The instructions may be generated based on text in the document that explains how to fill out the document.