{"schema_version":"1.0","canonical_url":"https://patentable.app/patents/US-9854330","patent":{"patent_number":"US-9854330","title":"Relevancy improvement through targeting of information based on data gathered from a networked device associated with a security sandbox of a client device","assignee":null,"inventors":[],"filing_date":"2016-04-27T00:00:00.000Z","publication_date":"2017-12-26T00:00:00.000Z","cpc_codes":["H04L","G06F","G06F","G06F","G06F","G06Q","G06Q","G08C","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04L","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","H04N","G06F","H04L","H04L","H04L","H04L","H04L"],"num_claims":30,"abstract":"A method, apparatus, and system related to relevancy improvement through targeting of information based on data gathered from a television associated with a security sandbox of a mobile device are disclosed. In one aspect, a system may include a television to generate a fingerprint data. The fingerprint data is an audio fingerprint data and/or a video fingerprint data. A relevancy-matching server matches primary data generated from the fingerprint data with targeted data based on a relevancy factor, and searches a storage for at least one of the targeted data, a reference to the targeted data, and a metadata of the targeted data. The primary data is a content identification data and/or a content identification history. A mobile device capable of being associated with the television processes an embedded object, constrains an executable environment in a security sandbox, and executes a sandboxed application in the executable environment."},"analysis":{"summary":"Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device enhances targeted advertising by leveraging data from networked devices within a secure environment. This patent addresses the problem of irrelevant advertising by gathering data from a television associated with a security sandbox on a mobile device. The key technical approach involves generating fingerprint data (audio or video) from the television and matching it with targeted data based on a relevancy factor. This ensures that users receive advertisements and content that are directly related to what they are currently viewing, enhancing user engagement and satisfaction. The system operates within a security sandbox, providing an added layer of protection for user privacy. \n\nThe business value lies in the increased effectiveness of targeted advertising, leading to higher click-through rates and conversion rates for advertisers. This approach also fosters greater user trust and willingness to engage with advertisements, as the system prioritizes privacy. The market opportunity is significant, with the potential to transform the way advertisements are delivered across various platforms. By leveraging data gathered from networked devices in a secure and privacy-conscious manner, this innovation is paving the way for a more personalized and engaging advertising experience. \n\nThis technology is set to redefine how content is targeted and delivered to users, making it a crucial development in the world of digital advertising. The system's ability to adapt to user preferences over time makes it an invaluable tool for content providers seeking to maintain user engagement. The use of fingerprint data and relevancy factors ensures that the content delivered remains relevant and interesting, fostering a more positive user experience. This approach is not limited to advertisements; it can also be applied to other forms of content, such as news articles, videos, and music. The potential applications are vast, making this technology a significant advancement in the field of information delivery.","layman_explanation":"Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device is a technology designed to improve the relevance of advertising you see on your mobile devices. It addresses the problem of irrelevant and annoying ads by using information about what you're watching on your TV to show you more targeted and useful ads.\n\nInstead of relying on broad demographic data or tracking your browsing history, this technology uses a more direct approach. It listens to or watches what's playing on your TV (with your permission, of course) and identifies the content. Then, it uses this information to select ads that are related to what you're watching. For example, if you're watching a cooking show, you might see ads for kitchen appliances or food products. The magic happens within a secure 'sandbox' on your device, ensuring your personal data remains protected.\n\nThis matters because it can lead to a better advertising experience for you. You're more likely to see ads for products or services that you're actually interested in, which can save you time and frustration. For businesses, it means more effective advertising campaigns and better returns on their ad spending. It also provides a competitive edge by offering a more personalized and privacy-conscious approach to advertising. This technology can be adopted across various industries, including media, entertainment, and e-commerce.\n\nIn the future, this approach could be expanded to other devices and content platforms, creating a more seamless and relevant advertising experience across all your devices. As privacy concerns continue to grow, technologies like this, which prioritize user privacy, will become increasingly important.","technical_analysis":"Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device presents a novel approach to targeted advertising by leveraging data from networked devices within a secure sandbox. The technical architecture consists of several key components: a television to generate fingerprint data, a relevancy-matching server to match primary data with targeted data, and a mobile device capable of processing embedded objects within a security sandbox. The fingerprint data, which can be audio or video, is generated using signal processing techniques to extract unique features from the content being displayed on the television. These features are then used to create a fingerprint that can be matched against a database of known content. \n\nThe relevancy-matching server employs sophisticated algorithms to identify the most relevant targeted data based on the fingerprint data. This process may involve analyzing content identification data, content identification history, and metadata associated with the targeted data. The security sandbox plays a crucial role in protecting user privacy. By constraining the executable environment, the sandbox prevents malicious code from accessing sensitive data on the mobile device. This is achieved through virtualization and process isolation techniques. \n\nThe implementation details involve complex signal processing algorithms for fingerprint generation, machine learning models for relevancy matching, and secure coding practices for sandbox implementation. The integration patterns involve seamless communication between the television, the relevancy-matching server, and the mobile device. Performance characteristics are optimized through efficient data processing and caching mechanisms. Code-level implications include the use of secure APIs and data encryption techniques to protect user privacy. This technology requires a deep understanding of signal processing, machine learning, and security engineering.","business_analysis":"Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device offers a significant market opportunity within the digital advertising industry. The market opportunity size is substantial, given the increasing demand for personalized and relevant advertising. The competitive advantages stem from the technology's ability to gather data from networked devices while maintaining user privacy through a security sandbox. This approach addresses a key concern among users about the privacy of their data, leading to increased trust and engagement. \n\nThe revenue potential is significant, as advertisers are willing to pay a premium for targeted advertising that delivers higher click-through rates and conversion rates. The business models include licensing the technology to advertising agencies and content providers, as well as offering a subscription-based service for targeted advertising. The strategic positioning involves establishing partnerships with television manufacturers, mobile device manufacturers, and advertising agencies. \n\nROI projections indicate a high return on investment, given the increased effectiveness of targeted advertising and the potential for recurring revenue streams. The key performance indicators (KPIs) include click-through rates, conversion rates, user engagement, and customer satisfaction. The market trends favor this technology, as users are increasingly demanding personalized and relevant content, while also prioritizing data privacy. This innovation is poised to disrupt the digital advertising industry by providing a more effective and privacy-conscious approach to targeted advertising.","faqs":null,"topics":[],"tech_cluster":null},"seo":{"title":"Targeted Ads via TV Data - Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device Patent","description":"Discover how Relevancy Improvement Through Targeting of Information Based on Data Gathered from a Networked Device Associated with a Security Sandbox of a Client Device improves ad relevancy with secure TV data. Full patent analysis, claims, and market impact.","keywords":[]},"attribution":{"source":"Patentable","source_url":"https://patentable.app","canonical_url":"https://patentable.app/patents/US-9854330","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-9854330","citation_suggestion":"Patentable. \"Relevancy improvement through targeting of information based on data gathered from a networked device associated with a security sandbox of a client device\" (US-9854330). https://patentable.app/patents/US-9854330","copyright_holder":"Nomic Interactive Technology LLC"},"links":{"html":"https://patentable.app/patents/US-9854330","json":"https://patentable.app/api/llm-context/US-9854330","site":"https://patentable.app","llms_txt":"https://patentable.app/llms.txt"},"generated_at":"2026-05-31T10:10:34.933Z"}