{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-11263470","patent":{"patent_number":"US-11263470","title":"Saliency prediction for informational documents","assignee":null,"inventors":[],"filing_date":"2017-11-15T00:00:00.000Z","publication_date":"2022-03-01T00:00:00.000Z","cpc_codes":["G06V","G06F","G06F","G06F","G06F","G06F","G06N","G06N","G06Q","G06V","G06V","G06V"],"num_claims":20,"abstract":"A content saliency network is a machine-learned neural network that predicts the saliency of elements of a content item. The content saliency network may be used in a method that includes determining a set of elements in draft content and computing a first pixel-level vector for the content. The method may also include, for each element in the set of elements, computing a vector of simple features for the element, the simple features being computed from attributes of the element, computing a second pixel-level vector for the element, computing a third pixel-level vector for an intermediate context of the element, and providing the vectors to the content saliency network. The content saliency network provides a saliency score for the element. The method further includes generating an element-level saliency map of the content using the respective saliency scores for the set of elements and providing the saliency map to a requestor."},"analysis":{"summary":null,"layman_explanation":null,"technical_analysis":null,"business_analysis":null,"faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Saliency prediction for informational documents","description":"A content saliency network is a machine-learned neural network that predicts the saliency of elements of a content item. The content saliency network may be used in a method that includes determining ","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-11263470","license":"CC-BY-4.0-like","license_terms":"AI-generated analysis on this page (summary, layman_explanation, technical_analysis, business_analysis, faqs) may be reused with attribution and a visible link back to the canonical URL above. Patent abstracts, claims, and bibliographic data are USPTO public domain.","required_link":"https://patentable.app/patents/US-11263470","citation_suggestion":"Patentable. \"Saliency prediction for informational documents\" (US-11263470). https://patentable.app/patents/US-11263470","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-11263470","json":"https://patentable.app/api/llm-context/US-11263470","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-30T11:57:12.251Z"}