公开(公告)号：US11361013B2

公开(公告)日：2022-06-14

申请号：US16910322

申请日：2020-06-24

申请人： CUMULUS SYSTEMS INC. ,  Ajit Bhave ,  Arun Ramachandran ,  Sai Krishnam Nadimpalli ,  Sandeep Bele

发明人： Ajit Bhave ,  Arun Ramachandran ,  Sai Krishnam Raju Nadimpalli ,  Sandeep Bele

IPC分类号： G06F15/173 ,  G06F16/36 ,  G06F21/55 ,  G06F16/43 ,  G06F16/84 ,  G06F16/14 ,  G06F16/185 ,  G06F16/245 ,  G06F16/25 ,  G06F16/28 ,  G06F16/33 ,  G06F16/335 ,  G06F16/951 ,  G06F16/242 ,  G06F16/2452 ,  G06F16/2453 ,  G06F16/2455 ,  G06F16/2458 ,  G06F16/901 ,  G06F16/9032 ,  G06F16/9535 ,  G06F16/903 ,  G05B23/02 ,  G06F11/34 ,  G06F11/30 ,  H04L43/04 ,  H04L12/46 ,  H04L43/12 ,  H04L43/00 ,  H04L67/025 ,  H04L67/01 ,  H04L69/329 ,  G06F40/205 ,  H04L9/40 ,  H04L67/00 ,  H04L43/022 ,  G06F16/332 ,  G06F16/338 ,  G06F16/383 ,  G06F16/31 ,  G06F16/248 ,  G06F40/126 ,  G06F40/146 ,  G06F40/106

摘要： A system to collect and store in a special data structure arranged for rapid searching massive amounts of data. Performance metric data is one example. The performance metric data is recorded in time-series measurements, converted into unicode, and arranged into a special data structure having one directory for every day which stores all the metric data collected that day. The data structure at the server where analysis is done has a subdirectory for every resource type. Each subdirectory contains text files of performance metric data values measured for attributes in a group of attributes to which said text file is dedicated. Each attribute has its own section and the performance metric data values are recorded in time series as unicode hex numbers as a comma delimited list. Analysis of the performance metric data is done using regular expressions.

公开(公告)号：US11347816B2

公开(公告)日：2022-05-31

申请号：US15829155

申请日：2017-12-01

申请人： AT&T Intellectual Property I, L.P.

发明人： Raghuraman Gopalan

IPC分类号： G06F16/9535 ,  G06F16/43 ,  G06F16/55

摘要： In one example, the present disclosure describes a device, computer-readable medium, and method for adaptively clustering media content from multiple different domains in the presence of domain shift. For instance, in one example, a plurality of data content items is acquired from a plurality of different domains, wherein at least some data content items of the plurality of data content items are unlabeled. The plurality of data content items is encoded with a feature representing a domain shift variation that is assumed to be present in the plurality of data content items, wherein the domain shift variation comprises variation in a characteristic of the plurality of data content items. The plurality of data content items is clustered into a predefined number of content categories subsequent to the encoding.

公开(公告)号：US20220121884A1

公开(公告)日：2022-04-21

申请号：US17543485

申请日：2021-12-06

申请人： Z Advanced Computing, Inc.

发明人： Lotfi A. Zadeh ,  Saied Tadayon ,  Bijan Tadayon

IPC分类号： G06K9/62 ,  G06N3/04 ,  G06F16/43 ,  G06F16/953 ,  G06N3/00

摘要： Specification covers new algorithms, methods, and systems for: Artificial Intelligence; the first application of General-AI (versus Specific, Vertical, or Narrow-AI) (as humans can do) (which also includes Explainable-AI or XAI); addition of reasoning, inference, and cognitive layers/engines to learning module/engine/layer; soft computing; Information Principle; Stratification; Incremental Enlargement Principle; deep-level/detailed recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, tilted or partial-face, OCR, relationship, position, pattern, and object); Big Data analytics; machine learning; crowd-sourcing; classification; clustering; SVM; similarity measures; Enhanced Boltzmann Machines; Enhanced Convolutional Neural Networks; optimization; search engine; ranking; semantic web; context analysis; question-answering system; soft, fuzzy, or un-sharp boundaries/impreciseness/ambiguities/fuzziness in class or set, e.g., for language analysis; Natural Language Processing (NLP); Computing-with-Words (CWW); parsing; machine translation; music, sound, speech, or speaker recognition; video search and analysis (e.g. “intelligent tracking”, with detailed recognition); image annotation; image or color correction; data reliability; Z-Number; Z-Web; Z-Factor; rules engine; playing games; control system; autonomous vehicles or drones; self-diagnosis and self-repair robots; system diagnosis; medical diagnosis/images; genetics; drug discovery; biomedicine; data mining; event prediction; financial forecasting (e.g., for stocks); economics; risk assessment; fraud detection (e.g., for cryptocurrency); e-mail management; database management; indexing and join operation; memory management; data compression; event-centric social network; social behavior; drone/satellite vision/navigation; smart city/home/appliances/IoT; and Image Ad and Referral Networks, for e-commerce, e.g., 3D shoe recognition, from any view angle.

公开(公告)号：US11238087B2

公开(公告)日：2022-02-01

申请号：US15850880

申请日：2017-12-21

申请人： Microsoft Technology Licensing, LLC

发明人： Weiqin Ma ,  Weidong Zhang ,  Yongzheng Zhang ,  Chi-Yi Kuan

IPC分类号： G06F16/43 ,  G06F9/451 ,  G06F16/438 ,  G06Q50/00

摘要： A machine may be configured to generate an enhanced user interface for displaying social analytics based on viral mentions and threading. For example, the machine accesses a plurality of items of digital content. The machine extracts, for each of the plurality of items of digital content, a title that describes a particular item of digital content. The machine generates a group of items of digital content based on the extracted titles associated with the plurality of items of digital content. The machine identifies, from the group of items of digital content, an original item of digital content and one or more subsequent items of digital content. The machine determines a strength value associated with the original item of digital content. The machine generates and causes a display of an enhanced user interface that displays the title and the strength value associated with the original item of digital content.

公开(公告)号：US11232147B2

公开(公告)日：2022-01-25

申请号：US16525366

申请日：2019-07-29

申请人： Adobe Inc.

发明人： Ajinkya Kale ,  Baldo Faieta ,  Benjamin Leviant ,  Fengbin Chen ,  Francois Guerin ,  Kate Sousa ,  Trung Bui ,  Venkat Barakam ,  Zhe Lin

IPC分类号： G06F16/20 ,  G06F16/48 ,  G06K9/62 ,  G06F16/2457 ,  G06F16/43

摘要： Systems, methods, and non-transitory computer-readable media are disclosed for determining multi-term contextual tags for digital content and propagating the multi-term contextual tags to additional digital content. For instance, the disclosed systems can utilize search query supervision to determine and associate multi-term contextual tags (e.g., tags that represent a specific concept based on the order of the terms in the tag) with digital content. Furthermore, the disclosed systems can propagate the multi-term contextual tags determined for the digital content to additional digital content based on similarities between the digital content and additional digital content (e.g., utilizing clustering techniques). Additionally, the disclosed systems can provide digital content as search results based on the associated multi-term contextual tags.

公开(公告)号：US20210385553A1

公开(公告)日：2021-12-09

申请号：US17409852

申请日：2021-08-24

申请人： Rovi Guides, Inc.

发明人： Parasuraman Ramakrishnan ,  Michael A. Montalto ,  Pok-Ching Lee ,  Wendy Cheang

IPC分类号： H04N21/81 ,  H04N21/258 ,  H04N21/278 ,  H04N21/231 ,  H04N21/482 ,  G06Q30/02 ,  H04N21/4788 ,  H04N21/84 ,  G06Q50/00 ,  H04N21/234 ,  G06F16/43 ,  G06F16/438 ,  H04N21/458 ,  H04N21/442

摘要： When a viewer is determined to be interested in an advertisement, a media guidance application may identify a second related advertisement to display to the viewer. The second advertisement may be displayed following the first interesting advertisement. To avoid timing issues, media content following the advertisements may be buffered so that the viewer can catch up on the media content without missing anything.

公开(公告)号：US11195057B2

公开(公告)日：2021-12-07

申请号：US16729944

申请日：2019-12-30

申请人： Z Advanced Computing, Inc.

发明人： Lotfi A. Zadeh ,  Saied Tadayon ,  Bijan Tadayon

IPC分类号： G06F16/953 ,  G06K9/62 ,  G06N3/04 ,  G06F16/43 ,  G06N3/00

摘要： Specification covers new algorithms, methods, and systems for: Artificial Intelligence; the first application of General-AI. (versus Specific, Vertical, or Narrow-AI) (as humans can do) (which also includes Explainable-AI or XAI); addition of reasoning, inference, and cognitive layers/engines to learning module/engine/layer; soft computing; Information Principle; Stratification; Incremental Enlargement Principle; deep-level/detailed recognition, e.g., image recognition (e.g., for action, gesture, emotion, expression, biometrics, fingerprint, tilted or partial-face, OCR, relationship, position, pattern, and object); Big Data analytics; machine learning; crowd-sourcing; classification; clustering; SVM; similarity measures; Enhanced Boltzmann Machines; Enhanced Convolutional Neural Networks; optimization; search engine; ranking; semantic web; context analysis; question-answering system; soft, fuzzy, or un-sharp boundaries/impreciseness/ambiguities/fuzziness in class or set, e.g., for language analysis; Natural Language Processing (NLP); Computing-with-Words (CWW); parsing; machine translation; music, sound, speech, or speaker recognition; video search and analysis (e.g., “intelligent tracking”, with detailed recognition); image annotation; image or color correction; data reliability; Z-Number; Z-Web; Z-Factor; rules engine; playing games; control system; autonomous vehicles or drones; self-diagnosis and self-repair robots; system diagnosis; medical diagnosis/images; genetics; drug discovery; biomedicine; data mining; event prediction; financial forecasting (e.g., for stocks); economics; risk assessment; fraud detection (e.g., for cryptocurrency); e-mail management; database management; indexing and join operation; memory management; data compression; event-centric social network; social behavior; drone/satellite vision/navigation; smart city/home/appliances/IoT; and Image Ad and Referral Networks, for e-commerce, e.g., 3D shoe recognition, from any view angle.

公开(公告)号：US20210374173A1

公开(公告)日：2021-12-02

申请号：US17400683

申请日：2021-08-12

申请人： The Nielsen Company (US), LLC

发明人： Rachel PAYNE ,  Meghana BHATT ,  Natasha MOHANTY

IPC分类号： G06F16/435 ,  G06F16/43 ,  G06F16/44 ,  G06F16/48 ,  G06F16/33 ,  G06F16/78 ,  G06F16/2457

摘要： Techniques for recommending media are described. A character preference function comprising a plurality of preference coefficients is accessed. A first character model comprises a first set of attribute values for the plurality of attributes of a first character. The first and second characters are associated with a first and second salience value, respectively. A second character model comprises a second set of attribute values for the plurality of attributes of a second character of the plurality of characters. A first character rating is calculated using the plurality of preference coefficients and the first set of attribute values. A second character rating of the second character is calculated using the plurality of preference coefficients with the second set of attribute values. A media rating is calculated based on the first and second salience values and the first and second character ratings. A media is recommended based on the media rating.

公开(公告)号：US11190603B2

公开(公告)日：2021-11-30

申请号：US16354674

申请日：2019-03-15

申请人： International Business Machines Corporation

发明人： Stephen C. Hammer ,  Gray Cannon ,  Aaron K. Baughman

IPC分类号： H04L29/08 ,  G06F16/43 ,  G06Q30/02

摘要： Techniques for tailoring sampling rates for data from interactive digital properties on a feature-by-feature basis and collecting the data using the tailored sampling rates. Each feature may have an independent sampling rate irrespective of sampling rates assigned to other features. The independent sampling rates are determined based on at least one factor of predictive feature usage information based on historical feature usage information, predetermined rules, and current usage velocity of the feature. In some embodiments the independent sampling rate is influenced by the usage of an allocated resource provided to the digital property relative to a total allocation of that resource for a given time period. In some embodiments, the allocated resource is server calls to a digital data analytics server for the purposes of providing feature usage information from the interactive digital property for the performance of digital data analytics.

公开(公告)号：US11188586B2

公开(公告)日：2021-11-30

申请号：US16271152

申请日：2019-02-08

申请人： Microsoft Technology Licensing, LLC

发明人： Georgios Krasadakis

IPC分类号： G06F16/20 ,  G06F16/48 ,  G06F16/21 ,  G06F16/43 ,  G06F16/2455 ,  G06F16/2457 ,  G06F16/78

摘要： A computer system automatically organizes, retrieves, annotates and/or presents media data files as collections of media data files associated with one or more entities, such as individuals, groups of individuals or other objects, using context captured in real time from a viewing environment. The computer system presents media data from selected media data files on presentation devices in the viewing environment and receives and processes signals from sensors in that viewing environment. The processed signals provide context, which can be used to select and retrieve media data files, and can be used to further annotate the media data files and/or other data structures representing collections of media data files and/or entities. In some implementations, the computer system can be configured to be continually processing signals from sensors in the viewing environment to continuously identify and use the context from the viewing environment.